You searched for subject:(Radar Signal Processing).
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Florida International University
1.
Geng, Zhe.
Radar Signal Processing for Interference Mitigation.
Degree: PhD, Electrical Engineering, 2018, Florida International University
URL: https://digitalcommons.fiu.edu/etd/3571 
;
10.25148/etd.FIDC006569
;
FIDC006569
► It is necessary for radars to suppress interferences to near the noise level to achieve the best performance in target detection and measurements. In…
(more)
▼ It is necessary for radars to suppress interferences to near the noise level to achieve the best performance in target detection and measurements. In this dissertation work, innovative
signal processing approaches are proposed to effectively mitigate two of the most common types of interferences: jammers and clutter. Two types of
radar systems are considered for developing new
signal processing algorithms: phased-array
radar and multiple-input multiple-output (MIMO)
radar. For phased-array
radar, an innovative target-clutter feature-based recognition approach termed as Beam-Doppler Image Feature Recognition (BDIFR) is proposed to detect moving targets in inhomogeneous clutter. Moreover, a new ground moving target detection algorithm is proposed for airborne
radar. The essence of this algorithm is to compensate for the ground clutter Doppler shift caused by the moving platform and then to cancel the Doppler-compensated clutter using MTI filters that are commonly used in ground-based
radar systems. Without the need of clutter estimation, the new algorithms outperform the conventional Space-Time Adaptive
Processing (STAP) algorithm in ground moving target detection in inhomogeneous clutter.
For MIMO
radar, a time-efficient reduced-dimensional clutter suppression algorithm termed as Reduced-dimension Space-time Adaptive
Processing (RSTAP) is proposed to minimize the number of the training samples required for clutter estimation. To deal with highly heterogeneous clutter more effectively, we also proposed a robust deterministic STAP algorithm operating on snapshot-to-snapshot basis. For cancelling jammers in the
radar mainlobe direction, an innovative jamming elimination approach is proposed based on coherent MIMO
radar adaptive beamforming. When combined with mutual information (MI) based cognitive
radar transmit waveform design, this new approach can be used to enable spectrum sharing effectively between
radar and wireless communication systems.
The proposed interference mitigation approaches are validated by carrying out simulations for typical
radar operation scenarios. The advantages of the proposed interference mitigation methods over the existing
signal processing techniques are demonstrated both analytically and empirically.
Advisors/Committee Members: Hai Deng, Malek Adjouadi, Jean Andrian, Ismail Guvenc, Deng Pan.
Subjects/Keywords: Radar; signal processing; interference mitigation; Signal Processing
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APA (6th Edition):
Geng, Z. (2018). Radar Signal Processing for Interference Mitigation. (Doctoral Dissertation). Florida International University. Retrieved from https://digitalcommons.fiu.edu/etd/3571 ; 10.25148/etd.FIDC006569 ; FIDC006569
Chicago Manual of Style (16th Edition):
Geng, Zhe. “Radar Signal Processing for Interference Mitigation.” 2018. Doctoral Dissertation, Florida International University. Accessed January 24, 2021.
https://digitalcommons.fiu.edu/etd/3571 ; 10.25148/etd.FIDC006569 ; FIDC006569.
MLA Handbook (7th Edition):
Geng, Zhe. “Radar Signal Processing for Interference Mitigation.” 2018. Web. 24 Jan 2021.
Vancouver:
Geng Z. Radar Signal Processing for Interference Mitigation. [Internet] [Doctoral dissertation]. Florida International University; 2018. [cited 2021 Jan 24].
Available from: https://digitalcommons.fiu.edu/etd/3571 ; 10.25148/etd.FIDC006569 ; FIDC006569.
Council of Science Editors:
Geng Z. Radar Signal Processing for Interference Mitigation. [Doctoral Dissertation]. Florida International University; 2018. Available from: https://digitalcommons.fiu.edu/etd/3571 ; 10.25148/etd.FIDC006569 ; FIDC006569
University of Oklahoma
2.
Wang, Shang.
WAVEFORM AND TRANSCEIVER OPTIMIZATION FOR MULTI-FUNCTIONAL AIRBORNE RADAR THROUGH ADAPTIVE PROCESSING.
Degree: PhD, 2013, University of Oklahoma
URL: http://hdl.handle.net/11244/318654
► Pulse compression techniques have been widely used for target detection and remote sensing. The primary concern for pulse compression is the sidelobe interference. Waveform design…
(more)
▼ Pulse compression techniques have been widely used for target detection and remote sensing. The primary concern for pulse compression is the sidelobe interference. Waveform design is an important method to improve the sidelobe performance. As a multi-functional aircraft platform in aviation safety domain, ADS-B system performs functions involving detection, localization and alerting of external traffic. In this work, a binary phase modulation is introduced to convert the original 1090 MHz ADS-B
signal waveform into a
radar signal. Both the statistical and deterministic models of new waveform are developed and analyzed. The waveform characterization, optimization and its application are studied in details. An alternative way to achieve low sidelobe levels without trading o range resolution and SNR is the adaptive pulse compression - RMMSE (Reiterative Minimum Mean-Square error). Theoretically, RMMSE is able to suppress the sidelobe level down to the receiver noise floor. However, the application of RMMSE to actual radars and the related implementation issues have not been investigated before. In this work, implementation aspects of RMMSE such as waveform sensitivity, noise immunity and computational complexity are addressed. Results generated by applying RMMSE to both simulated and measured
radar data are presented and analyzed. Furthermore, a two-dimensional RMMSE algorithm is derived to mitigate the sidelobe effects from both pulse compression
processing and antenna radiation pattern. In addition, to achieve even better control of the sidelobe level, a joint transmit and receive optimization scheme (JTRO) is proposed, which reduces the impacts of HPA nonlinearity and receiver distortion. Experiment results obtained with a Ku-band spaceborne
radar transceiver testbed are presented.
Advisors/Committee Members: Zhang, Yan (advisor).
Subjects/Keywords: Radar; Signal processing – Digital techniques
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APA (6th Edition):
Wang, S. (2013). WAVEFORM AND TRANSCEIVER OPTIMIZATION FOR MULTI-FUNCTIONAL AIRBORNE RADAR THROUGH ADAPTIVE PROCESSING. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/318654
Chicago Manual of Style (16th Edition):
Wang, Shang. “WAVEFORM AND TRANSCEIVER OPTIMIZATION FOR MULTI-FUNCTIONAL AIRBORNE RADAR THROUGH ADAPTIVE PROCESSING.” 2013. Doctoral Dissertation, University of Oklahoma. Accessed January 24, 2021.
http://hdl.handle.net/11244/318654.
MLA Handbook (7th Edition):
Wang, Shang. “WAVEFORM AND TRANSCEIVER OPTIMIZATION FOR MULTI-FUNCTIONAL AIRBORNE RADAR THROUGH ADAPTIVE PROCESSING.” 2013. Web. 24 Jan 2021.
Vancouver:
Wang S. WAVEFORM AND TRANSCEIVER OPTIMIZATION FOR MULTI-FUNCTIONAL AIRBORNE RADAR THROUGH ADAPTIVE PROCESSING. [Internet] [Doctoral dissertation]. University of Oklahoma; 2013. [cited 2021 Jan 24].
Available from: http://hdl.handle.net/11244/318654.
Council of Science Editors:
Wang S. WAVEFORM AND TRANSCEIVER OPTIMIZATION FOR MULTI-FUNCTIONAL AIRBORNE RADAR THROUGH ADAPTIVE PROCESSING. [Doctoral Dissertation]. University of Oklahoma; 2013. Available from: http://hdl.handle.net/11244/318654
3.
Besic, Nikola.
Séparation aveugle des sources polarimétriques en télédétection RSO satellitaire à très haute résolution spatiale : Karakterizacija polarimetrijskih SAR slika velike rezolucije tehnikama slijepog razdvajanja izvora.
Degree: Docteur es, Signal, image, paroles, télécoms, 2014, Grenoble; Univerzitet Crne Gore (Podgorica, Yougoslavie)
URL: http://www.theses.fr/2014GRENT118
► Cette thèse est composée de deux axes de recherche. Le premièr, plutôt méthodologique, consiste de nos efforts pour répondre à des questions ouvertes dans la…
(more)
▼ Cette thèse est composée de deux axes de recherche. Le premièr, plutôt méthodologique, consiste de nos efforts pour répondre à des questions ouvertes dans la communauté de RSO polarimétrique, tandis que le second est plutôt lié à l'application spécifique - le télédétection du manteau neigeux.Suite à la modélisation statistique alternative des images RSO multivariées et haute- ment texturées, par le modèle SIRV, nous proposons d'abord une évaluation appropriée des paramètres de circularité et sphéricité, autrement à priori présumés. La dernière est accouplée avec le test de symétrie sphérique, ce qui forme une méthode pour l'évaluation de pertinence de modèle statistique SIRV dans le contexte de données RSO polarimétriques. Compte tenu du taux de réjection, cela parait justifié de mettre en question les hypothèses de circularité et sphéricité, alors que la pertinence de modèle SIRV doit être soupçonnée dans les régions caractérisées par la diffusion déterministe forte. En suite, comme le point culminant de cette thèse, nous proposons une décomposition incohérente de cible polarimétrique, basée sur l'ACI et fondée sur l'hypothèse de non-Gaussianité du clutter RSO polarimétrique. En exploitant l'information contenue dans les ordres statistiques supérieurs, cette décomposition donne à la sortie un ensemble de vecteurs de cible, qui sont mutuellement indépendants (plutôt que seule- ment décorrélés) et non-orthogonaux. Contrairement à la première composant dominante, qui parait presque identique à l'une estimée par le homologue conventionnel, la deuxième com- posante dominante diffère significativement, ce qui représente un potentiel additionnel pour l'interprétation des données RSO polarimétriques.Dans le contexte appliqué, la première contribution présentée serait une approche stochas- tique pour la cartographie du manteau neigeux au moyen de données RSO multi-temporelles. Les apports les plus notables de la méthode présentée à l'ensemble de techniques de la détec- tion de changements dans la cartographie du manteau neigeux, sont l'hypothèse modifiée du ratio de rétrodiffusion entre la neige sèche et la neige humide, aussi que la corrélation spatiale entre les régions de la neige humide, introduite en impliquant la statistique locale de speckle dans le processus de décision. Finalement, nous présentons la méthode non-autonome pour l'estimation spatiale de l'équivalent en eau de la neige (EEN), basée sur des données optiques. En utilisant avec succès des données de télédétection dans la calibration du modèle EEN externe, on essaie de démontrer l'utilité et la nécessite du télédétection dans la surveillance du manteau neigeux.
This thesis comprises two research axes. The first, being rather methodological, consists of our efforts to answer some of the open questions in the POLSAR community, while the latter is sooner related to the specific application - the remote sensing of snow.Following the alternative statistical modelling of highly textured multivariate SAR datasets by means of SIRV model, we propose the…
Advisors/Committee Members: Chanussot, Jocelyn (thesis director), Stankovic, Srdjan (thesis director), Vasile, Gabriel (thesis director).
Subjects/Keywords: Traitement du signal; Radar; Polarimétrie; Signal processing; Radar; Polarimetry; 620
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APA (6th Edition):
Besic, N. (2014). Séparation aveugle des sources polarimétriques en télédétection RSO satellitaire à très haute résolution spatiale : Karakterizacija polarimetrijskih SAR slika velike rezolucije tehnikama slijepog razdvajanja izvora. (Doctoral Dissertation). Grenoble; Univerzitet Crne Gore (Podgorica, Yougoslavie). Retrieved from http://www.theses.fr/2014GRENT118
Chicago Manual of Style (16th Edition):
Besic, Nikola. “Séparation aveugle des sources polarimétriques en télédétection RSO satellitaire à très haute résolution spatiale : Karakterizacija polarimetrijskih SAR slika velike rezolucije tehnikama slijepog razdvajanja izvora.” 2014. Doctoral Dissertation, Grenoble; Univerzitet Crne Gore (Podgorica, Yougoslavie). Accessed January 24, 2021.
http://www.theses.fr/2014GRENT118.
MLA Handbook (7th Edition):
Besic, Nikola. “Séparation aveugle des sources polarimétriques en télédétection RSO satellitaire à très haute résolution spatiale : Karakterizacija polarimetrijskih SAR slika velike rezolucije tehnikama slijepog razdvajanja izvora.” 2014. Web. 24 Jan 2021.
Vancouver:
Besic N. Séparation aveugle des sources polarimétriques en télédétection RSO satellitaire à très haute résolution spatiale : Karakterizacija polarimetrijskih SAR slika velike rezolucije tehnikama slijepog razdvajanja izvora. [Internet] [Doctoral dissertation]. Grenoble; Univerzitet Crne Gore (Podgorica, Yougoslavie); 2014. [cited 2021 Jan 24].
Available from: http://www.theses.fr/2014GRENT118.
Council of Science Editors:
Besic N. Séparation aveugle des sources polarimétriques en télédétection RSO satellitaire à très haute résolution spatiale : Karakterizacija polarimetrijskih SAR slika velike rezolucije tehnikama slijepog razdvajanja izvora. [Doctoral Dissertation]. Grenoble; Univerzitet Crne Gore (Podgorica, Yougoslavie); 2014. Available from: http://www.theses.fr/2014GRENT118
University of Oklahoma
4.
Lievsay, James.
Passive Radar Clutter Modeling and Emitter Selection for Ground Moving Target Indication.
Degree: PhD, 2017, University of Oklahoma
URL: http://hdl.handle.net/11244/51872
► Moving target detection with a passive radar system relies on many competing and coupled variables. When simulating a passive bistatic radar (PBR) system for ground…
(more)
▼ Moving target detection with a passive
radar system relies on many competing and coupled variables. When simulating a passive bistatic
radar (PBR) system for ground moving target indication (GMTI) a three-dimensional model is critical. The
signal path geometry induced from separating the
radar receiver and transmitter causes several performance effects that change with location.
Since a performance prediction is only as good as the model, the choice of how to model clutter becomes important. Measured data of bistatic clutter shows that the received clutter power depends on scattering angles. Therefore, a new in-plane out-of-plane (IPOP) interpolation model was developed. The IPOP model causes high clutter returns to reside in regions near an in-plane orientation (forward or backward scattering). The model produces a more localized clutter spectrum in angle-Doppler space when compared to monostatic
radar.
Generally, the stationary transmitter is modeled as a communication emitter due to the availability. These continuous waveforms must be partitioned as pulses spaced at constant intervals over the coherent
processing interval (CPI). This diverse pulse train is non-ideal for pulse-Doppler radars. The waveform produces high range sidelobes and causes colored noise to spread in Doppler. It is shown for the first time that these waveform effects can be modeled through a covariance matrix taper (CMT).
Choosing an optimal emitter becomes an interesting problem when multiple emitters are present. A common metric for GMTI when using space-time adaptive
processing (STAP) is
signal-to-interference-plus-noise ratio (SINR). However, SINR changes based off relative geometries, and GMTI depends on where a target's location and two-dimensional velocity maps into angle-Doppler space. Therefore, average SINR, weighted average SINR, minimum SINR, and usable velocity space fraction (UVSF) are the newly developed metrics proposed for down-selecting to an optimal emitter. The choice of metric is extremely dependent on the scenario.
Finally, in STAP large clutter discretes (LCDs) can cause either false alarms or missed detections. Ultimately, they contaminate the data, and it is very desirable, yet very hard, to remove LCDs. However, the clutter structure in angle-Doppler space for PBR can offer a benefit for removing an LCD. Due to the fact that bistatic clutter can be more localized in angle-Doppler, the detection and estimation of an LCD can be accomplished for an out-of-plane geometry. Then the LCD can be successfully removed from the data, and new application of spectral estimation techniques have been developed for this purpose.
Advisors/Committee Members: Goodman, Nathan (advisor), Fulton, Caleb (committee member), Jackson, Julie (committee member), Palmer, Robert (committee member), Yeary, Mark (committee member).
Subjects/Keywords: Radar Signal Processing; Space-Time Adaptive Processing; Passive Bistatic Radar
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APA (6th Edition):
Lievsay, J. (2017). Passive Radar Clutter Modeling and Emitter Selection for Ground Moving Target Indication. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/51872
Chicago Manual of Style (16th Edition):
Lievsay, James. “Passive Radar Clutter Modeling and Emitter Selection for Ground Moving Target Indication.” 2017. Doctoral Dissertation, University of Oklahoma. Accessed January 24, 2021.
http://hdl.handle.net/11244/51872.
MLA Handbook (7th Edition):
Lievsay, James. “Passive Radar Clutter Modeling and Emitter Selection for Ground Moving Target Indication.” 2017. Web. 24 Jan 2021.
Vancouver:
Lievsay J. Passive Radar Clutter Modeling and Emitter Selection for Ground Moving Target Indication. [Internet] [Doctoral dissertation]. University of Oklahoma; 2017. [cited 2021 Jan 24].
Available from: http://hdl.handle.net/11244/51872.
Council of Science Editors:
Lievsay J. Passive Radar Clutter Modeling and Emitter Selection for Ground Moving Target Indication. [Doctoral Dissertation]. University of Oklahoma; 2017. Available from: http://hdl.handle.net/11244/51872
University of Oklahoma
5.
Nepal, Ramesh.
Advanced Signal Processing For Multi-Mission Airborne Radar.
Degree: PhD, 2018, University of Oklahoma
URL: http://hdl.handle.net/11244/316749
► The field-validations show that a modular, software-based enhancement to an existing radar system is a viable solution in realizing multi-mission functionalities in an airborne radar.…
(more)
▼ The field-validations show that a modular, software-based enhancement to an existing
radar system is a viable solution in realizing multi-mission functionalities in an airborne
radar. The SAA tracking is validated in ground-based tests using an x86 based PC with a generic Linux operating system. The weather measurements from PARADOX1 and the subsequent data quality enhancements show that PARADOX1 data products are comparable to those of existing ground based radars.
Advisors/Committee Members: Zhang, Yan "Rockee" (advisor), Cruz, J. R. (committee member), Tang, Choon Yik (committee member), Ding, Lei (committee member), Weber, Mark E (committee member), Lakshmivarahan, S. (committee member).
Subjects/Keywords: multi-mission airborne radar; radar signal processing; sense and avoid radar; multi function radar
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APA (6th Edition):
Nepal, R. (2018). Advanced Signal Processing For Multi-Mission Airborne Radar. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/316749
Chicago Manual of Style (16th Edition):
Nepal, Ramesh. “Advanced Signal Processing For Multi-Mission Airborne Radar.” 2018. Doctoral Dissertation, University of Oklahoma. Accessed January 24, 2021.
http://hdl.handle.net/11244/316749.
MLA Handbook (7th Edition):
Nepal, Ramesh. “Advanced Signal Processing For Multi-Mission Airborne Radar.” 2018. Web. 24 Jan 2021.
Vancouver:
Nepal R. Advanced Signal Processing For Multi-Mission Airborne Radar. [Internet] [Doctoral dissertation]. University of Oklahoma; 2018. [cited 2021 Jan 24].
Available from: http://hdl.handle.net/11244/316749.
Council of Science Editors:
Nepal R. Advanced Signal Processing For Multi-Mission Airborne Radar. [Doctoral Dissertation]. University of Oklahoma; 2018. Available from: http://hdl.handle.net/11244/316749
Baylor University
6.
Eustice, Dylan Scott, 1992-.
Adaptive radar waveform synthesis via alternating projections.
Degree: M.S.E.C.E., Baylor University. Dept. of Electrical & Computer Engineering., 2015, Baylor University
URL: http://hdl.handle.net/2104/9595
► As the number of wireless broadband devices occupying our airwaves grows at a rapid rate, the resultant decrease in available spectrum for current technologies and…
(more)
▼ As the number of wireless broadband devices occupying our airwaves grows at a rapid rate, the resultant decrease in available spectrum for current technologies and increasingly stringent regulations on band compliance has necessitated adaptive RF technologies which can respond to the spectrum crisis. The task of maintaining the effectiveness of our RF technology with a shrinking spectrum has generated work in a number of fields, notably cognitive
radar. This work focuses on developing an algorithm which can adaptively produce waveforms with desired accuracy in the range-Doppler domain, measured by the ambiguity function, for
radar detection while also having characteristics which allow for efficient amplifier operation and spectral compliance.
Advisors/Committee Members: Baylis, Charles Passant, 1979- (advisor).
Subjects/Keywords: Signal processing. Computational intelligence. Cognitive radar.
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APA (6th Edition):
Eustice, Dylan Scott, 1. (2015). Adaptive radar waveform synthesis via alternating projections. (Masters Thesis). Baylor University. Retrieved from http://hdl.handle.net/2104/9595
Chicago Manual of Style (16th Edition):
Eustice, Dylan Scott, 1992-. “Adaptive radar waveform synthesis via alternating projections.” 2015. Masters Thesis, Baylor University. Accessed January 24, 2021.
http://hdl.handle.net/2104/9595.
MLA Handbook (7th Edition):
Eustice, Dylan Scott, 1992-. “Adaptive radar waveform synthesis via alternating projections.” 2015. Web. 24 Jan 2021.
Vancouver:
Eustice, Dylan Scott 1. Adaptive radar waveform synthesis via alternating projections. [Internet] [Masters thesis]. Baylor University; 2015. [cited 2021 Jan 24].
Available from: http://hdl.handle.net/2104/9595.
Council of Science Editors:
Eustice, Dylan Scott 1. Adaptive radar waveform synthesis via alternating projections. [Masters Thesis]. Baylor University; 2015. Available from: http://hdl.handle.net/2104/9595
7.
Hanquist, Carl-Henrik.
Airborne Radar Ground Clutter Suppression Using Multitaper Spectrum Estimation & Choosing DPSS Parameters.
Degree: Electrical and Space Engineering, 2018, Luleå University of Technology
URL: http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-71309
► One of the biggest challenges in any airborne radar is to distinguish a target from a strong ground echo. The main problem is that…
(more)
▼ One of the biggest challenges in any airborne radar is to distinguish a target from a strong ground echo. The main problem is that the ground echo, called ground clutter, can be up to a million times stronger than the response from the target in question. Today many different filtering methods are used in airborne radar systems to separate the target signal from the ground clutter. All of them with their own advantages and shortcomings. In an ideal world the optimum filter would completely filter out the unwanted ground echo. But as ideal filters don't exist in reality a filter with low sidelobes and minimum loss in signal-to-interference ratio is sought after. A type of filter which exhibit this behaviour are discrete prolate spheroidal sequences (DPSS). This thesis investigated if DPSS could be used as weight functions in multitaper spectrum estimation to filter out ground clutter in the radar signal. A simple clutter model was developed for generating simulated ground clutter which was then filtered out by multitaper and a traditional method. Results showed that it is possible to use DPSS in multitaper spectrum estimation and that it outperforms a basic traditional method in clutter filtration as long as parameters such as bandwidth and the number of sequences used are chosen properly. The increase in performance against the traditional method comes at a cost of increased computational load with each additional DPSS order used. A full factorial experiment was also performed to investigate which parameters were important for maximising improvement factor and minimum detectable velocity. The results from these showed that a low bandwidth in the generation of the DPSS was preferable and that a high number of time samples and DPSS used improved performance. They also showed that for an increase in number of time samples the bandwidth and number of sequences used need to be adjusted to maintain the same level of the improvement factor. It was concluded that future work should focus on validation with more advanced clutter models and MTI filters in simulations as well as validation against real radar data. If proved successful, optimisation of calculation speeds as well as implementation of adaptive choice of DPSS bandwidth would be beneficial before being implemented in a radar system.
En av de största utmaningarna i ett flygburet radarsystem är att urskilja ett mål från markekot. Problem uppstår eftersom markekot, kallat markklotter, kan vara upp emot en miljon gånger starkare än svaret från målet i fråga. I dagsläget används flera olika filtreringmetoder i flyburna radarsystem för att urskilja målet från markklottret, alla har sina fördelar och nackdelar. I en ideal värld skulle det optimala filtret filtrera ut markklottret fullständigt och endast bevara målsignalen. Eftersom dessa filter inte existerar i verkligheten eftersträvas istället ett filter med låga sidlober och minimal förlust i signal-till-interferens ration. En typ av filter som uppvisar detta beteende är diskreta prolata…
Subjects/Keywords: DPSS; Multitaper; Radar; Signal Processing; Signalbehandling
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APA (6th Edition):
Hanquist, C. (2018). Airborne Radar Ground Clutter Suppression Using Multitaper Spectrum Estimation & Choosing DPSS Parameters. (Thesis). Luleå University of Technology. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-71309
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Hanquist, Carl-Henrik. “Airborne Radar Ground Clutter Suppression Using Multitaper Spectrum Estimation & Choosing DPSS Parameters.” 2018. Thesis, Luleå University of Technology. Accessed January 24, 2021.
http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-71309.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Hanquist, Carl-Henrik. “Airborne Radar Ground Clutter Suppression Using Multitaper Spectrum Estimation & Choosing DPSS Parameters.” 2018. Web. 24 Jan 2021.
Vancouver:
Hanquist C. Airborne Radar Ground Clutter Suppression Using Multitaper Spectrum Estimation & Choosing DPSS Parameters. [Internet] [Thesis]. Luleå University of Technology; 2018. [cited 2021 Jan 24].
Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-71309.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Hanquist C. Airborne Radar Ground Clutter Suppression Using Multitaper Spectrum Estimation & Choosing DPSS Parameters. [Thesis]. Luleå University of Technology; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-71309
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
University of Melbourne
8.
Li, John Zhong-Chen.
Design and signal processing for CMOS automotive radar.
Degree: 2014, University of Melbourne
URL: http://hdl.handle.net/11343/42172
► There is an increasing use of radar for sensing the environment in automotive applications to provide data for applications such as collision avoidance and adaptive…
(more)
▼ There is an increasing use of radar for sensing the environment in automotive applications to provide data for applications such as collision avoidance and adaptive cruise control systems. In this thesis, the waveform design, signal processing and architecture of automotive radars are explored. A particular emphasis is placed on reducing the implementation cost to enable widespread adoption of safety systems.
While an automotive radar is unlikely to experience intentional jamming, the anticipated increase in density of radars with falling cost and improved availability is expected to lead to more interference as more users begin to share the available band. It is thus important that the performance of the system is understood in the presence of interference. This thesis provides some insight into the severity of the problem and some strategies for mitigating the impact.
The requirements of automotive radar typically mandate the use of full-amplitude continuous-wave radar transmitters which occupy as much bandwidth as possible to meet the constraints on transmitted power for detecting targets at long range. Thus, some of the usual interference mitigation techniques in mobile communications such as power control or frequency or time division are not readily applicable. Instead, the available spectrum must be shared with a code-division multiple access scheme.
It is important to have an understanding of the availability of safety applications under interference. Thus, a simple but typical automotive interference environment is modelled under the assumption that a multiple access scheme is employed. The model is used to determine empirical guides on the number of effective channels required under various scenarios, as well as to understand the average and worst case times that users will be blocked.
Two classes of frequency modulated waveforms are investigated in this thesis. First, Linear Frequency Modulated Continuous Wave (LFM-CW), which has emerged as a popular choice in automotive radar because it readily admits a simple transceiver architecture. The return signals are usually processed using FFTs. However, mitigating interference with such waveforms requires the sacrifice of some estimation performance.
A second scheme of using Random Stepped Frequency (RSF) waveforms scheduled in conjunction with single tone continuous wave (CW) waveforms is also presented. A common transceiver architecture can be used but the estimation performance of the RSF waveform can be improved with more sophisticated signal processing beyond the typical limits imposed by the FFT processing typically used with LFM-CW waveforms, while still maintaining low sampling and data rates. The performance of the algorithm when the system is in a non-optimal state due to interference or hardware limitations is demonstrated to degrade gracefully.
The waveform also lends itself to interference mitigation as in each time slot each user is only concerned with a small part of the full band. The increased flexibility of RSF…
Subjects/Keywords: signal processing; radar; CMOS; RF design
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APA (6th Edition):
Li, J. Z. (2014). Design and signal processing for CMOS automotive radar. (Doctoral Dissertation). University of Melbourne. Retrieved from http://hdl.handle.net/11343/42172
Chicago Manual of Style (16th Edition):
Li, John Zhong-Chen. “Design and signal processing for CMOS automotive radar.” 2014. Doctoral Dissertation, University of Melbourne. Accessed January 24, 2021.
http://hdl.handle.net/11343/42172.
MLA Handbook (7th Edition):
Li, John Zhong-Chen. “Design and signal processing for CMOS automotive radar.” 2014. Web. 24 Jan 2021.
Vancouver:
Li JZ. Design and signal processing for CMOS automotive radar. [Internet] [Doctoral dissertation]. University of Melbourne; 2014. [cited 2021 Jan 24].
Available from: http://hdl.handle.net/11343/42172.
Council of Science Editors:
Li JZ. Design and signal processing for CMOS automotive radar. [Doctoral Dissertation]. University of Melbourne; 2014. Available from: http://hdl.handle.net/11343/42172
University of Dayton
9.
Wetzel, Daniel T.
Digital Methods for Cohere-On-Receive Radar
Applications.
Degree: PhD, Engineering, 2018, University of Dayton
URL: http://rave.ohiolink.edu/etdc/view?acc_num=dayton1533319129578964
► “Cohere-on-Receive” is generally known as a set of radar technologies that are used to transform a non-coherent transceiver into a coherent one by adjusting the…
(more)
▼ “Cohere-on-Receive” is generally known as a set of
radar technologies that are used to transform a non-coherent
transceiver into a coherent one by adjusting the phases of the
received waveforms as they arrive at the receiver. This
transformation must be performed before integration or other
signal
processing algorithms can be used. The non-coherence can arise from
a multitude of issues, including transmission from a non-coherent
high-power source such as a magnetron. Another possibility is that
the target is fluctuating in some manner such that the phase of its
echo is apparently random from pulse to pulse. Furthermore, the
concept of “Super Coherence” is introduced, where the performance
of an existing coherent
radar can be improved using these coherence
techniques. The techniques described in this manuscript use the
general methodology of saving a reference pulse and then cohering
the rest of the pulses in the Coherent
Processing Interval to that
reference pulse. An application of this technology to the field of
Analog to Digital Converter (ADC) technology is also presented. The
algorithms which are described are suitable for real-time
implementation in a modern Digital
Signal Processor or Field
Programmable Gate Array.
Advisors/Committee Members: Wicks, Michael (Advisor).
Subjects/Keywords: Electrical Engineering; radar; coherent; signal processing
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APA (6th Edition):
Wetzel, D. T. (2018). Digital Methods for Cohere-On-Receive Radar
Applications. (Doctoral Dissertation). University of Dayton. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=dayton1533319129578964
Chicago Manual of Style (16th Edition):
Wetzel, Daniel T. “Digital Methods for Cohere-On-Receive Radar
Applications.” 2018. Doctoral Dissertation, University of Dayton. Accessed January 24, 2021.
http://rave.ohiolink.edu/etdc/view?acc_num=dayton1533319129578964.
MLA Handbook (7th Edition):
Wetzel, Daniel T. “Digital Methods for Cohere-On-Receive Radar
Applications.” 2018. Web. 24 Jan 2021.
Vancouver:
Wetzel DT. Digital Methods for Cohere-On-Receive Radar
Applications. [Internet] [Doctoral dissertation]. University of Dayton; 2018. [cited 2021 Jan 24].
Available from: http://rave.ohiolink.edu/etdc/view?acc_num=dayton1533319129578964.
Council of Science Editors:
Wetzel DT. Digital Methods for Cohere-On-Receive Radar
Applications. [Doctoral Dissertation]. University of Dayton; 2018. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=dayton1533319129578964
University of Oklahoma
10.
Peccarelli, Nicholas.
Nonlinear Equalization and Digital Pre-Distortion Techniques for Future Radar and Communications Digital Array Systems.
Degree: PhD, 2020, University of Oklahoma
URL: http://hdl.handle.net/11244/324399
► Modern radar (military, automotive, weather, etc.) and communication systems seek to leverage the spatio-spectral efficiency of phased arrays. Specifically, there is an increasingly large demand…
(more)
▼ Modern
radar (military, automotive, weather, etc.) and communication systems seek to leverage the spatio-spectral efficiency of phased arrays. Specifically, there is an increasingly large demand for fully-digital arrays, with each antenna element having its own transmitter and receiver. Further, in order to makes these systems realizable, low-cost, low-complexity solutions are required, often sacrificing the system's linearity. Lower linearity paired with the inherent lack of RF spacial filtering can make these highly digital systems vulnerable to high-power interferering signals – potentially introducing spectral regrowth and/or gain compression, distorting the
signal-of-interest.
Digital linearization solutions such as Digital Pre-Distiortion (DPD) and Nonlinear Equalization (NLEQ) have been shown to effectively mitigate nonlinearities for transmitters and receivers, respectively. Further, DPD and NLEQ seek to extend the effective dynamic range of digital arrays, helping the systems reach their designed dynamic range improvement of 10log
10(N)~dB, where N is the number of transmitters/receivers. However, the performance of these solutions is ultimately determined by training model and waveform. Further, the nonlinear characteristics of a system can change with temperature, frequency, power, time, etc., requiring a robust calibration technique to maintain a high-level of nonlinear mitigation.
This dissertation reviews the different types of nonlinear models and the current NLEQ and DPD algorithms for digital array systems. Further, a generalized calibration waveform for both NLEQ and DPD is proposed, allowing a system to maximize its dynamic range over power and frequency. Additionally, an it{in-situ} calibration method, leveraging the inherent mutual coupling in an array, is proposed as a solution to maintaining a high level of performance in a fielded digital array system over the system's lifetime. The combination of the proposed training waveform and it{in-situ} calibration technique prove to be very effective at adaptively creating a generalized solution to extending the dynamic range of future low-cost digital array systems.
Advisors/Committee Members: Fulton, Caleb (advisor), Goodman, Nathan (committee member), Sigmarsson, Hjalti (committee member), McDaniel, Jay (committee member), Grigo, Alexander (committee member).
Subjects/Keywords: Nonlinear Equalization; Phased Array; Radar; Signal Processing
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APA (6th Edition):
Peccarelli, N. (2020). Nonlinear Equalization and Digital Pre-Distortion Techniques for Future Radar and Communications Digital Array Systems. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/324399
Chicago Manual of Style (16th Edition):
Peccarelli, Nicholas. “Nonlinear Equalization and Digital Pre-Distortion Techniques for Future Radar and Communications Digital Array Systems.” 2020. Doctoral Dissertation, University of Oklahoma. Accessed January 24, 2021.
http://hdl.handle.net/11244/324399.
MLA Handbook (7th Edition):
Peccarelli, Nicholas. “Nonlinear Equalization and Digital Pre-Distortion Techniques for Future Radar and Communications Digital Array Systems.” 2020. Web. 24 Jan 2021.
Vancouver:
Peccarelli N. Nonlinear Equalization and Digital Pre-Distortion Techniques for Future Radar and Communications Digital Array Systems. [Internet] [Doctoral dissertation]. University of Oklahoma; 2020. [cited 2021 Jan 24].
Available from: http://hdl.handle.net/11244/324399.
Council of Science Editors:
Peccarelli N. Nonlinear Equalization and Digital Pre-Distortion Techniques for Future Radar and Communications Digital Array Systems. [Doctoral Dissertation]. University of Oklahoma; 2020. Available from: http://hdl.handle.net/11244/324399
Penn State University
11.
Sorbello, Robert Michael.
The Design and Implementation of a Cognitive Radar for the Study of Plasma Instabilities at Equatorial and Mid-latitude Regions.
Degree: 2015, Penn State University
URL: https://submit-etda.libraries.psu.edu/catalog/25659
► Cognitive radar is envisioned to be the future of remote sensing systems. The idea proposed by Simon Haykin in [1] details that a cognitive radar…
(more)
▼ Cognitive
radar is envisioned to be the future of remote sensing systems. The idea proposed by Simon Haykin in [1] details that a cognitive
radar will be have the ability to learn about the sensing environment and, over time, optimize returns from targets of interest by altering the transmitted pulse waveform. Although military
applications were initially the most prominent field for this new paradigm of
radar systems, additional benefits were realized in the ionospheric
radar community. In Huancayo, Peru, located along the geomagnetic equator, a cognitive imaging
radar system is to be installed to continuously monitor the generation of the three different plasma instabilities observed throughout the course of a day, namely Spread F, Electrojet, and 150 km echoes. This system has been given the name Cognitive Interferometric
Radar Imager (CIRI) based on the described characteristics, and has also been replicated close to the Pennsylvania State University campus to serve as a test system. The first step of the cognitive process is to automatically recognize the current plasma instability forming in the ionosphere, and then switch to a transmission waveform that is able to improve the study of certain aspects of the event. This dissertation discusses in detail both the hardware configuration and
signal processing aspects of the CIRI system. A major section is then dedicated toward the development of a cognitive routine that has potential to be utilized for optimizing the returns from the mentioned plasma instabilities. Finally, results of the two systems located at Pennsylvania State University and Huancayo will be provided along with the future work anticipated for this topic of research.
Advisors/Committee Members: Julio Urbina, Dissertation Advisor/Co-Advisor, John David Mathews, Committee Chair/Co-Chair, Dr James Breakall, Committee Member, Matthew Robert Kumjian, Committee Member.
Subjects/Keywords: Radar; Cognitive Radar; Signal Processing; Ionosphere; Plasma Instabilities
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APA (6th Edition):
Sorbello, R. M. (2015). The Design and Implementation of a Cognitive Radar for the Study of Plasma Instabilities at Equatorial and Mid-latitude Regions. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/25659
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Sorbello, Robert Michael. “The Design and Implementation of a Cognitive Radar for the Study of Plasma Instabilities at Equatorial and Mid-latitude Regions.” 2015. Thesis, Penn State University. Accessed January 24, 2021.
https://submit-etda.libraries.psu.edu/catalog/25659.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Sorbello, Robert Michael. “The Design and Implementation of a Cognitive Radar for the Study of Plasma Instabilities at Equatorial and Mid-latitude Regions.” 2015. Web. 24 Jan 2021.
Vancouver:
Sorbello RM. The Design and Implementation of a Cognitive Radar for the Study of Plasma Instabilities at Equatorial and Mid-latitude Regions. [Internet] [Thesis]. Penn State University; 2015. [cited 2021 Jan 24].
Available from: https://submit-etda.libraries.psu.edu/catalog/25659.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Sorbello RM. The Design and Implementation of a Cognitive Radar for the Study of Plasma Instabilities at Equatorial and Mid-latitude Regions. [Thesis]. Penn State University; 2015. Available from: https://submit-etda.libraries.psu.edu/catalog/25659
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Penn State University
12.
Shastry, Mahesh Chandramouli.
Compressively Sampled Radar Using Random Waveforms.
Degree: 2013, Penn State University
URL: https://submit-etda.libraries.psu.edu/catalog/18739
► Compressive sensing (also referred to as compressed sensing) refers to the theory and practice of exploiting sparsity in physical measurements to acquire fewer samples than…
(more)
▼ Compressive sensing (also referred to as compressed sensing) refers to the theory and practice of exploiting sparsity in physical measurements to acquire fewer samples than dictated by the conventional Shannon-Nyquist-Kotelnikov sampling theorem. In this thesis, we explore the utility of compressive sensing in
radar imaging problems. In order to achieve good imaging resolution, we seek to build
radar systems with hardware and algorithms intended for
processing signals of high bandwidth. Traditionally,
radar systems utilized analog
processing systems. Over the last few years, with advances in computing, it has been possible to process ultra-wideband (UWB) signals digitally. The current state of analog-to-digital converter (ADC) technology limits our ability to effectively acquire UWB radio-frequency (RF) signals in the context of
radar imaging. However,
radar signals that are scattered from common target scenes are sparse when represented in appropriate basis functions. We can thus apply the theory of compressive sensing to circumvent the limitations of ADC technology and design
radar systems capable of imaging at higher resolutions than conventionally thought possible.
In this thesis, we study the utility of random, noise-like transmit waveforms in compressive
radar imaging. Our focus is on developing the theory and methods for the basic
radar signal processing tasks of imaging, detection, and waveform design in the framework of compressive sensing. Compressive
radar signal processing systems are more complex and less robust to noise and perturbations than conventional systems. We demonstrate using phase-transition diagrams that compressive noise
radar is a feasible technology. Further, phase transition diagrams can be used for calibrating
radar systems in real applications. The original contributions of this thesis are in developing the theory of compressive
radar imaging using random stochastic waveforms. We demonstrate that compressive sensing works in real scenarios by applying it to experimental data. Hypothesis testing for target detection in the context of compressive
radar imaging is different than the conventional setting since
signal recovery is iterative and non-linear. We propose a method based on extreme value statistics to characterize the detection performance and determine thresholds for target detection in compressive
radar imaging. We validate the effectiveness of this approach by applying it to experimental noise-
radar imaging data.
Radar systems often require designing waveforms that are optimally suited for specific applications and target scenarios. However, optimizing the transmit waveform can make the system matrix unsuitable for compressive
signal recovery. In our work, we propose a waveform design algorithm that optimizes the waveform while keeping the system matrix suitable for compressive sensing. We analyze its performance and demonstrate its effectiveness through numerical simulations.
Advisors/Committee Members: Ram Mohan Narayanan, Dissertation Advisor/Co-Advisor, Vishal Monga, Committee Member, John F Doherty, Committee Member, James Joseph Brannick, Committee Member.
Subjects/Keywords: compressive sensing; radar; sparsity; signal processing; noise radar
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APA (6th Edition):
Shastry, M. C. (2013). Compressively Sampled Radar Using Random Waveforms. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/18739
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Shastry, Mahesh Chandramouli. “Compressively Sampled Radar Using Random Waveforms.” 2013. Thesis, Penn State University. Accessed January 24, 2021.
https://submit-etda.libraries.psu.edu/catalog/18739.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Shastry, Mahesh Chandramouli. “Compressively Sampled Radar Using Random Waveforms.” 2013. Web. 24 Jan 2021.
Vancouver:
Shastry MC. Compressively Sampled Radar Using Random Waveforms. [Internet] [Thesis]. Penn State University; 2013. [cited 2021 Jan 24].
Available from: https://submit-etda.libraries.psu.edu/catalog/18739.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Shastry MC. Compressively Sampled Radar Using Random Waveforms. [Thesis]. Penn State University; 2013. Available from: https://submit-etda.libraries.psu.edu/catalog/18739
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
13.
Akaydın, Sümeye Nur.
Radar video görüntülerinde karasal alanların belirlenmesi: Determination of land regions in radar video image.
Degree: Mühendislik Fakültesi, 2018, University of Ankara
URL: http://hdl.handle.net/20.500.12575/69283
► Radar sistemlerinde hedefin tespit edilme olasılığını azaltan etmenlerin azaltılması önemli bir konudur. Kıyı sınırlarının güvenliğinin sağlanması veya gemi takibi yapılması gibi uygulamalarda sadece takibi yapılan…
(more)
▼ Radar sistemlerinde hedefin tespit edilme olasılığını azaltan etmenlerin azaltılması önemli bir konudur. Kıyı sınırlarının güvenliğinin sağlanması veya gemi takibi yapılması gibi uygulamalarda sadece takibi yapılan hedef nesne ile çalışılması uygulama başarısını yükseltmektedir.
Radar ile görüntüleme
radar vericisi tarafından gönderilen sinyallerin hedeflerden radara yansımalarının gücü kullanılarak yapılmaktadır. Deniz radarları ile görüntüleme yapılırken kara ve kargaşa bölgelerinden gelen güçlü yansımalar hedef tespit ve takip performansını olumsuz yönde etkilemektedir. Bu sebeple harita ve Doppler bilgisinin bulunmadığı durumlarda
radar videolarında karasal alanların belirlenmesi önem taşımaktadır. Tez çalışmasında deniz radarı videolarında karasal alanların saptanmasının belirli bir doğrulukta gerçekleştirilmesi için çıkıntı saptamaya dayalı bir yöntem önerilmiştir. Video verisi kullanılan çalışmalarda statik ve dinamik olmak üzere iki çıkıntı durumu bulunmaktadır. Çalışma kapsamında statik belirginliğin saptanması için görüntü bölütleme yöntemleri önerilmiş ve bu yöntemlerin başarım analizleri yapılarak en iyi sonuç veren yöntem seçilmiştir. Dinamik belirginliğin saptanması için de Horn-Schunk optik akış yönteminin kullanılması önerilmiştir. Optik akış ile elde edilen vektörlerden, yapılan literatür çalışması sonucunda, çıkarılması gereken özniteliklerin zamansal alan öznitelikleri olduğu belirlenmiştir. Belirlenen özniteliklerden sınıflandırıcının performansını olumsuz yönde etkileyen öznitelikler elenerek öznitelik seçme işlemi gerçekleştirilmiştir. Seçilen özniteliklerin kullanıldığı çeşitli sınıflandırıcıların performansları karşılaştırılmış, en yüksek başarıma sahip sınıflandırıcı seçilerek kara, deniz ve kargaşa bölgeleri sınıflandırılmıştır. Yapılan çalışmada
radar videolarında karasal alanların bilgisayarla görme ve makine öğrenmesine ait yöntemler kullanılarak yüksek oranda tespit edilebildiği gösterilmiştir.
In
radar systems, reducing the factors that decrease probability of target detection is an important issue. Working with only the object that is tracked for the applications such as assuring coastal safety or ship tracking increases the application success.
Radar imaging is done using the power of
radar reflections from the targets of the signals sent by the
radar transmitter. While imaging is done with marine
radar, strong reflections from land and cluttered areas lead to decreasing the performance of target detection and tracking. Therefore, when there is no map and Doppler information, land area detection becomes so important task. In this thesis, a method based on saliency detection which results significant accuracy, is proposed for detection of land areas in marine
radar videos. Static and dynamic saliency detection are main two subjects of working on video data. In this study, to detect static saliency, image segmentation methods are proposed and the best image segmentation method has chosen after evaluation of their performance. To detect dynamic saliency, Horn-Schunk optical flow…
Advisors/Committee Members: Soysal, Gökhan (advisor).
Subjects/Keywords: Radar sinyal işleme; Kara sınıflandırma; Radar signal processing; Land classification
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APA ·
Chicago ·
MLA ·
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CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Akaydın, S. N. (2018). Radar video görüntülerinde karasal alanların belirlenmesi: Determination of land regions in radar video image. (Masters Thesis). University of Ankara. Retrieved from http://hdl.handle.net/20.500.12575/69283
Chicago Manual of Style (16th Edition):
Akaydın, Sümeye Nur. “Radar video görüntülerinde karasal alanların belirlenmesi: Determination of land regions in radar video image.” 2018. Masters Thesis, University of Ankara. Accessed January 24, 2021.
http://hdl.handle.net/20.500.12575/69283.
MLA Handbook (7th Edition):
Akaydın, Sümeye Nur. “Radar video görüntülerinde karasal alanların belirlenmesi: Determination of land regions in radar video image.” 2018. Web. 24 Jan 2021.
Vancouver:
Akaydın SN. Radar video görüntülerinde karasal alanların belirlenmesi: Determination of land regions in radar video image. [Internet] [Masters thesis]. University of Ankara; 2018. [cited 2021 Jan 24].
Available from: http://hdl.handle.net/20.500.12575/69283.
Council of Science Editors:
Akaydın SN. Radar video görüntülerinde karasal alanların belirlenmesi: Determination of land regions in radar video image. [Masters Thesis]. University of Ankara; 2018. Available from: http://hdl.handle.net/20.500.12575/69283
Brno University of Technology
14.
Cích, Augustín.
Digitizér pro radarová čidla: Digitizer for radar senzors.
Degree: 2019, Brno University of Technology
URL: http://hdl.handle.net/11012/173651
► This bachelor thesis deals with digitization of analog signal of radar sensors, which employ Doppler‘s effect. Radar sensor used for construction of prototype was HB100.…
(more)
▼ This bachelor thesis deals with digitization of analog
signal of
radar sensors, which employ Doppler‘s effect.
Radar sensor used for construction of prototype was HB100. Digitization was done with ADC, which has 12 bit resolution and sample rate of 15,625 kS/s. Control unit of aquisition is Arduino UNO, which sends data to computer, where they are, in application interface made in MATLAB, processed using „watterfall“ spectrogram.
Advisors/Committee Members: Kubíček, Michal (advisor), Šebesta, Jiří (referee).
Subjects/Keywords: CW radar; spracovanie analógového signálu; digitalizácia signálu; CW radar; analog signal processing; signal digitization
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APA ·
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Manager
APA (6th Edition):
Cích, A. (2019). Digitizér pro radarová čidla: Digitizer for radar senzors. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/173651
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Cích, Augustín. “Digitizér pro radarová čidla: Digitizer for radar senzors.” 2019. Thesis, Brno University of Technology. Accessed January 24, 2021.
http://hdl.handle.net/11012/173651.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Cích, Augustín. “Digitizér pro radarová čidla: Digitizer for radar senzors.” 2019. Web. 24 Jan 2021.
Vancouver:
Cích A. Digitizér pro radarová čidla: Digitizer for radar senzors. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Jan 24].
Available from: http://hdl.handle.net/11012/173651.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Cích A. Digitizér pro radarová čidla: Digitizer for radar senzors. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/173651
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
15.
Uphoff, Jan Luca.
Introduction to automotive FMCW Radar Technologies : Using Texas Instruments mmWave AWR sensor series.
Degree: 2018, , Department of Applied Signal Processing
URL: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-16266
► The goal of the following thesis is to transfer radar basic theory in a practical work using Texas Instrument’s mmWave radar series. The range…
(more)
▼ The goal of the following thesis is to transfer radar basic theory in a practical work using Texas Instrument’s mmWave radar series. The range of practical applications for FMCW radars has increased, for example in automotive sector. Understanding the basics of radar mathematics in a simplified way, as well as the transfer from theory to practical work is important for any engineer working on radar projects. Even if the theory is known, the way from a theory to a running system can be hard, facing several problems, because the reality is limited. In two experiments, data from the radar is collected while cars are crossing the observation area of the radar.The data is then used to count the number of vehicles passing the observation area and to estimate the movement of the objects in the field of view.
Subjects/Keywords: Short Range Radar; Automotive Wave Radar; FMCW Radar; Texas Instruments AWR; Signal Processing; Signalbehandling
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APA (6th Edition):
Uphoff, J. L. (2018). Introduction to automotive FMCW Radar Technologies : Using Texas Instruments mmWave AWR sensor series. (Thesis). , Department of Applied Signal Processing. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:bth-16266
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Uphoff, Jan Luca. “Introduction to automotive FMCW Radar Technologies : Using Texas Instruments mmWave AWR sensor series.” 2018. Thesis, , Department of Applied Signal Processing. Accessed January 24, 2021.
http://urn.kb.se/resolve?urn=urn:nbn:se:bth-16266.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Uphoff, Jan Luca. “Introduction to automotive FMCW Radar Technologies : Using Texas Instruments mmWave AWR sensor series.” 2018. Web. 24 Jan 2021.
Vancouver:
Uphoff JL. Introduction to automotive FMCW Radar Technologies : Using Texas Instruments mmWave AWR sensor series. [Internet] [Thesis]. , Department of Applied Signal Processing; 2018. [cited 2021 Jan 24].
Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-16266.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Uphoff JL. Introduction to automotive FMCW Radar Technologies : Using Texas Instruments mmWave AWR sensor series. [Thesis]. , Department of Applied Signal Processing; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-16266
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
University of Oklahoma
16.
Lucking, David.
Digital-At-Every-Element Radar Resource Allocation for Multi-Target Tracking.
Degree: PhD, 2019, University of Oklahoma
URL: http://hdl.handle.net/11244/320358
► A sensor's performance is constrained by the amount of resources at its disposal and the utilization of those resources. A radar system, for example, has…
(more)
▼ A sensor's performance is constrained by the amount of resources at its disposal and the utilization of those resources. A
radar system, for example, has a limited amount of transmit power-aperture per unit time to track a multitude of targets. A typical approach when tracking multiple dynamic targets is to time interleave the update intervals until all the
radar tasks are performed. The advent of more agile sensors, such as digital-at-every-element apertures, opens the possibility for dynamic sensor resource allocation strategies to achieve better tracking performance in target-dense, resource-constrained scenarios. With proper research into aperture allocation, such as the analysis provided in this dissertation, an all-digital
radar can intelligently exploit the degrees of freedom offered by all-digital radars to increase tracking performance. In this dissertation, we investigate adaptive aperture allocation for tracking a large number of targets. The strategies are first introduced with a parallel, linear channel model, then increased in realism with a non-linear measurement model, and finally applied to a full tracking system. We derive various strategies for allocating power and aperture, and compare their performance based on tracking related metrics. Finally, we investigate the relationship between the aperture allocation strategies and the target locations for multiple scenarios designed to represent the environment for a
radar tracking system. This research provides groundbreaking strategies for optimal
radar aperture allocation using the digital-at-every-element architectures to reduce the overall system uncertainty and decrease the uncertainty on a per-target basis. Integrating aperture allocation with the management of other degrees of freedom will increase multi-target tracking performance well beyond the current state of the art.
Advisors/Committee Members: Goodman, Nathan (advisor), Fulton, Caleb (committee member), Yeary, Mark (committee member), Antonio, John (committee member), Sigmarsson, Hjalti (committee member).
Subjects/Keywords: Digital Arrays; Multi-Target Tracking; Radar Modeling; Radar Resource Management; Radar Signal Processing
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APA (6th Edition):
Lucking, D. (2019). Digital-At-Every-Element Radar Resource Allocation for Multi-Target Tracking. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/320358
Chicago Manual of Style (16th Edition):
Lucking, David. “Digital-At-Every-Element Radar Resource Allocation for Multi-Target Tracking.” 2019. Doctoral Dissertation, University of Oklahoma. Accessed January 24, 2021.
http://hdl.handle.net/11244/320358.
MLA Handbook (7th Edition):
Lucking, David. “Digital-At-Every-Element Radar Resource Allocation for Multi-Target Tracking.” 2019. Web. 24 Jan 2021.
Vancouver:
Lucking D. Digital-At-Every-Element Radar Resource Allocation for Multi-Target Tracking. [Internet] [Doctoral dissertation]. University of Oklahoma; 2019. [cited 2021 Jan 24].
Available from: http://hdl.handle.net/11244/320358.
Council of Science Editors:
Lucking D. Digital-At-Every-Element Radar Resource Allocation for Multi-Target Tracking. [Doctoral Dissertation]. University of Oklahoma; 2019. Available from: http://hdl.handle.net/11244/320358
Georgia Tech
17.
Paulus, Audrey S.
Improved target detection through extended-dwell, multichannel radar.
Degree: PhD, Electrical and Computer Engineering, 2014, Georgia Tech
URL: http://hdl.handle.net/1853/54279
► The detection of weak, ground-moving targets can be improved through effective utilization of additional target signal energy collected over an extended dwell time. The signal…
(more)
▼ The detection of weak, ground-moving targets can be improved through effective utilization of additional target
signal energy collected over an extended dwell time. The
signal model used in conventional
radar processing limits integration of
signal energy over an extended dwell. Two solutions that consider the complexity of the extended-dwell
signal model and effectively combine
signal energy collected over a long dwell are presented. The first solution is a single-channel algorithm that provides an estimate of the optimal detector to maximize output
signal-to-interference-plus-noise ratio for the extended dwell time
signal. Rather than searching for the optimal detector in an intractably large filter bank that contains all combinations of phase components, the single-channel algorithm projects dictionary entries against the data to estimate the signal’s linear and nonlinear phase components sequentially with small, phase-specific dictionaries in a multistage process. When used as the detector, the
signal model formed from the estimated phase components yields near optimal performance for a wide range of target parameters for dwell times up to four seconds. In comparison, conventional
radar processing methods are limited to an integration time of approximately 100 milliseconds. The second solution is a multichannel, multistage algorithm based on element-space pre-Doppler space-time-adaptive
processing with two modifications that make it suitable for detection of weak targets whose energy is collected over an extended dwell time. The multichannel solution detects targets with lower radial velocities at significantly lower
signal-to-noise ratios (SNRs) than conventional
radar processing methods. The decrease in required input SNR for the multichannel solution as compared to conventional methods nearly doubles the detection range for a typical target of interest. Future related research includes extension of these concepts to other
radar applications and investigation of algorithm performance for the multiple-target scenario.
Advisors/Committee Members: Williams, Douglas B. (advisor), Melvin, William L. (advisor), Richards, Mark A. (committee member), Barnes, Christopher F. (committee member), Lanterman, Aaron D. (committee member), Jacobs, Laurence J. (committee member).
Subjects/Keywords: Target detection; Multichannel radar; Ground moving target indication; Radar signal processing; Space-time-adaptive processing
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APA (6th Edition):
Paulus, A. S. (2014). Improved target detection through extended-dwell, multichannel radar. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/54279
Chicago Manual of Style (16th Edition):
Paulus, Audrey S. “Improved target detection through extended-dwell, multichannel radar.” 2014. Doctoral Dissertation, Georgia Tech. Accessed January 24, 2021.
http://hdl.handle.net/1853/54279.
MLA Handbook (7th Edition):
Paulus, Audrey S. “Improved target detection through extended-dwell, multichannel radar.” 2014. Web. 24 Jan 2021.
Vancouver:
Paulus AS. Improved target detection through extended-dwell, multichannel radar. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2021 Jan 24].
Available from: http://hdl.handle.net/1853/54279.
Council of Science Editors:
Paulus AS. Improved target detection through extended-dwell, multichannel radar. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/54279
Virginia Tech
18.
Bjerke, Benjamin A.
Noise and Degradation Reduction for Signal and Image Processing via Non-adaptive Convolution Filtering.
Degree: MS, Mechanical Engineering, 2013, Virginia Tech
URL: http://hdl.handle.net/10919/23700
► Noise and degradation reduction is of significant importance in virtually all systems where these phenomena are present, specifically in the fields of signal and image…
(more)
▼ Noise and degradation reduction is of significant importance in virtually all systems where these phenomena are present, specifically in the fields of
signal and image
processing. The effect of image
processing on target detection is of significant interest because noise and degradations can greatly reduce the effectiveness of detection algorithms, due to the presence of high intensity noise which is often mistaken as a target. In
signal processing, noise in vibration data, or any time-series data, can reduce the accuracy of measurement and can prevent the passing of useful information. Many filters that have been developed are designed to reduce a single class of noise, such as Wiener and Frost filters. When these filters are applied to types of noise that they were not designed for, the effect of the noise reduction can be greatly reduced. The proposed Two-Stage Non-Adaptive Convolution (TSNAC) filter significantly reduces both additive and multiplicative noise in these two unique systems. The performance of these filters is compared through several Image Quality (IQ) metrics. It will be shown that the proposed TSNAC filter reduces noise and degradations more effectively in both SAR images and synthetic vibration data than the competing filters. It will show higher IQ scores, greater computational efficiency in target detection, and significant improvement in
signal restoration of simulated vibration data.
Advisors/Committee Members: Roan, Michael J. (committeechair), Leonessa, Alexander (committee member), Papenfuss, Cory M. (committee member).
Subjects/Keywords: Signal Processing; Image Processing; Synthetic Aperture Radar; Vibration; Convolution
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APA (6th Edition):
Bjerke, B. A. (2013). Noise and Degradation Reduction for Signal and Image Processing via Non-adaptive Convolution Filtering. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/23700
Chicago Manual of Style (16th Edition):
Bjerke, Benjamin A. “Noise and Degradation Reduction for Signal and Image Processing via Non-adaptive Convolution Filtering.” 2013. Masters Thesis, Virginia Tech. Accessed January 24, 2021.
http://hdl.handle.net/10919/23700.
MLA Handbook (7th Edition):
Bjerke, Benjamin A. “Noise and Degradation Reduction for Signal and Image Processing via Non-adaptive Convolution Filtering.” 2013. Web. 24 Jan 2021.
Vancouver:
Bjerke BA. Noise and Degradation Reduction for Signal and Image Processing via Non-adaptive Convolution Filtering. [Internet] [Masters thesis]. Virginia Tech; 2013. [cited 2021 Jan 24].
Available from: http://hdl.handle.net/10919/23700.
Council of Science Editors:
Bjerke BA. Noise and Degradation Reduction for Signal and Image Processing via Non-adaptive Convolution Filtering. [Masters Thesis]. Virginia Tech; 2013. Available from: http://hdl.handle.net/10919/23700
York University
19.
Sajadi, Nick.
Time Reversal Compressive Sensing MIMO Radar Systems.
Degree: PhD, Computer Science, 2017, York University
URL: http://hdl.handle.net/10315/33518
► Active radar systems transmit a probing signal and use the return backscatters received from the channel to determine properties of the channel. After detecting the…
(more)
▼ Active
radar systems transmit a probing
signal and use the return backscatters received from the channel to determine properties of the channel. After detecting the presence of targets, the localization of targets is achieved by estimating relevant target parameters, including the range, Doppler's frequency, and azimuth associated with the targets.
A major source of error in parameter estimation is the presence of clutter (undesired targets) that also reflects the probing
signal back to the
radar. To eliminate the fading effect introduced by backscatters originating from the clutter, the multiple input multiple output (MIMO)
radar transmits a set of simultaneous uncorrelated probing signals from the transmit elements comprising the transmit array. A major problem with MIMO radars is the large amount of data generated when the recorded backscatters are discretized at the Nyquist sampling rate. This in turn necessitates the need of expensive, high speed analog-to-digital converter circuits. Compressive sensing (CS) has emerged as a new sampling paradigm for reconstructing sparse signals with relatively few observations and at a lower computational cost compared to other sparsity promoting approaching. Although compressive beamforming has the potential of high resolution estimates, the approach has several limitations arising mainly due to the difficulty in achieving complete incoherency and sparsity in the CS dictionary. This PhD thesis will apply the principle of time reversal (TR) to MIMO radars to improve the incoherency and sparsity of the compressive beamforming dictionary. The resulting CS TR MIMO
radar is analytically studied and assessed for performance gains as compared to the conventional MIMO systems.
Advisors/Committee Members: Asif, Amir (advisor).
Subjects/Keywords: Computer engineering; Time Reversal Signal Processing; Compressive Sensing; MIMO Radar Systems; Statistical Signal Processing
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APA (6th Edition):
Sajadi, N. (2017). Time Reversal Compressive Sensing MIMO Radar Systems. (Doctoral Dissertation). York University. Retrieved from http://hdl.handle.net/10315/33518
Chicago Manual of Style (16th Edition):
Sajadi, Nick. “Time Reversal Compressive Sensing MIMO Radar Systems.” 2017. Doctoral Dissertation, York University. Accessed January 24, 2021.
http://hdl.handle.net/10315/33518.
MLA Handbook (7th Edition):
Sajadi, Nick. “Time Reversal Compressive Sensing MIMO Radar Systems.” 2017. Web. 24 Jan 2021.
Vancouver:
Sajadi N. Time Reversal Compressive Sensing MIMO Radar Systems. [Internet] [Doctoral dissertation]. York University; 2017. [cited 2021 Jan 24].
Available from: http://hdl.handle.net/10315/33518.
Council of Science Editors:
Sajadi N. Time Reversal Compressive Sensing MIMO Radar Systems. [Doctoral Dissertation]. York University; 2017. Available from: http://hdl.handle.net/10315/33518
Colorado State University
20.
Nguyen, Cuong Manh.
Electronic scan weather radar: scan strategy and signal processing for volume targets.
Degree: PhD, Electrical and Computer Engineering, 2013, Colorado State University
URL: http://hdl.handle.net/10217/80963
► Following the success of the WSR-88D network, considerable effort has been directed toward searching for options for the next generation of weather radar technology. With…
(more)
▼ Following the success of the WSR-88D network, considerable effort has been directed toward searching for options for the next generation of weather
radar technology. With its superior capability for rapidly scanning the atmosphere, electronically scanned phased array
radar (PAR) is a potential candidate. A network of such radars has been recommended for consideration by the National Academies Committee on Weather
Radar Technology beyond NEXRAD. While conventional weather
radar uses a rotating parabolic antenna to form and direct the beam, a phased array
radar superimposes outputs from an array of many similar radiating elements to yield a beam that is scanned electronically. An adaptive scan strategy and advanced
signal designs and
processing concepts are developed in this work to use PAR effectively for weather observation. An adaptive scan strategy for weather targets is developed based on the space-time variability of the storm under observation. Quickly evolving regions are scanned more often and spatial sampling resolution is matched to spatial scale. A model that includes the interaction between space and time is used to extract spatial and temporal scales of the medium and to define scanning regions. The temporal scale constrains the
radar revisit time while the measurement accuracy controls the dwell time. These conditions are employed in a task scheduler that works on a ray-by-ray basis and is designed to balance task priority and
radar resources. The scheduler algorithm also includes an optimization procedure for minimizing
radar scan time. In this research, a
signal model for polarimetric phased array weather
radar (PAWR) is presented and analyzed. The electronic scan mechanism creates a complex coupling of horizontal and vertical polarizations that produce the bias in the polarimetric variables retrieval. Methods for bias correction for simultaneous and alternating transmission modes are proposed. It is shown that the bias can be effectively removed; however, data quality degradation occurs at far off boresight directions. The effective range for the bias correction methods is suggested by using
radar simulation. The pulsing scheme used in PAWR requires a new ground clutter filtering method. The filter is designed to work with a
signal covariance matrix in the time domain. The matrix size is set to match the data block size. The filter's design helps overcome limitations of spectral filtering methods and make efficient use of reducing ground clutter width in PAWR. Therefore, it works on modes with few samples. Additionally, the filter can be directly extended for staggered PRT waveforms. Filter implementation for polarimetric retrieval is also successfully developed and tested for simultaneous and alternating staggered PRT. The performance of these methods is discussed in detail. It is important to achieve high sensitivity for PAWR. The use of low-power solid state transmitters to keep costs down requires pulse compression technique. Wide-band pulse compression filters will partly reduce the system…
Advisors/Committee Members: Chandra, Chandrasekar V. (advisor), Jayasumana, Anura P. (committee member), Mielke, Paul W. (committee member), Notaros, Branislav (committee member).
Subjects/Keywords: polarimetric weather radar; remote sensing; radar signal processing; electronic scan strategy; phased array weather radar; radar pulse compression
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APA (6th Edition):
Nguyen, C. M. (2013). Electronic scan weather radar: scan strategy and signal processing for volume targets. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/80963
Chicago Manual of Style (16th Edition):
Nguyen, Cuong Manh. “Electronic scan weather radar: scan strategy and signal processing for volume targets.” 2013. Doctoral Dissertation, Colorado State University. Accessed January 24, 2021.
http://hdl.handle.net/10217/80963.
MLA Handbook (7th Edition):
Nguyen, Cuong Manh. “Electronic scan weather radar: scan strategy and signal processing for volume targets.” 2013. Web. 24 Jan 2021.
Vancouver:
Nguyen CM. Electronic scan weather radar: scan strategy and signal processing for volume targets. [Internet] [Doctoral dissertation]. Colorado State University; 2013. [cited 2021 Jan 24].
Available from: http://hdl.handle.net/10217/80963.
Council of Science Editors:
Nguyen CM. Electronic scan weather radar: scan strategy and signal processing for volume targets. [Doctoral Dissertation]. Colorado State University; 2013. Available from: http://hdl.handle.net/10217/80963
21.
Ekvall, Linus.
Airborne Radar Ground Clutter Suppression Using Multitaper Spectrum Estimation : Comparison with Traditional Method.
Degree: Electrical and Space Engineering, 2018, Luleå University of Technology
URL: http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-70934
► During processing of data received by an airborne radar one of the issues is that the typical signal echo from the ground produces a…
(more)
▼ During processing of data received by an airborne radar one of the issues is that the typical signal echo from the ground produces a large perturbation. Due to this perturbation it can be difficult to detect targets with low velocity or a low signal-to-noise ratio. Therefore, a filtering process is needed to separate the large perturbation from the target signal. The traditional method include a tapered Fourier transform that operates in parallel with a MTI filter to suppress the main spectral peak in order to produce a smoother spectral output. The difference between a typical signal echo produced from an object in the environment and the signal echo from the ground can be of a magnitude corresponding to more than a 60 dB difference. This thesis presents research of how the multitaper approach can be utilized in concurrence with the minimum variance estimation technique, to produce a spectral estimation that strives for a more effective clutter suppression. A simulation model of the ground clutter was constructed and also a number of simulations for the multitaper, minimum variance estimation technique was made. Compared to the traditional method defined in this thesis, there was a slight improvement of the improvement factor when using the multitaper approach. An analysis of how variations of the multitaper parameters influence the results with respect to minimum detectable velocity and improvement factor have been carried out. The analysis showed that a large number of time samples, a large number of tapers and a narrow bandwidth provided the best result. The analysis is based on a full factorial simulation that provides insight of how to choose the DPSS parameters if the method is to be implemented in a real radar system.
Subjects/Keywords: Ground clutter; tapering; multitaper; discrete prolate spheroidal sequences; minumum variance estimation; signal processing; radar; airborne radar; Signal Processing; Signalbehandling
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APA (6th Edition):
Ekvall, L. (2018). Airborne Radar Ground Clutter Suppression Using Multitaper Spectrum Estimation : Comparison with Traditional Method. (Thesis). Luleå University of Technology. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-70934
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Ekvall, Linus. “Airborne Radar Ground Clutter Suppression Using Multitaper Spectrum Estimation : Comparison with Traditional Method.” 2018. Thesis, Luleå University of Technology. Accessed January 24, 2021.
http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-70934.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Ekvall, Linus. “Airborne Radar Ground Clutter Suppression Using Multitaper Spectrum Estimation : Comparison with Traditional Method.” 2018. Web. 24 Jan 2021.
Vancouver:
Ekvall L. Airborne Radar Ground Clutter Suppression Using Multitaper Spectrum Estimation : Comparison with Traditional Method. [Internet] [Thesis]. Luleå University of Technology; 2018. [cited 2021 Jan 24].
Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-70934.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Ekvall L. Airborne Radar Ground Clutter Suppression Using Multitaper Spectrum Estimation : Comparison with Traditional Method. [Thesis]. Luleå University of Technology; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-70934
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Kennesaw State University
22.
Testin, Nicholas J.
Implementation of Range Autofocus for SAR Radar Imaging.
Degree: 2017, Kennesaw State University
URL: https://digitalcommons.kennesaw.edu/honors_etd/10
► The range calculation for an FMCW radar depends on accurate linear modulation. In some circumstances, linear modulation may not be available and must be…
(more)
▼ The range calculation for an FMCW
radar depends on accurate linear modulation. In some circumstances, linear modulation may not be available and must be corrected for. This paper describes an autofocus technique used to correct for phase error due to non-linearities in the components of a FMCW
radar. Also described here is the algorithm used in calculating the phase error and application of the phase correction with triangle modulation. Known errors were calculated at certain distances and applied to correcting the phase of data taken at similar distances. The results given were generated using a SAR working outside linear ranges.
Advisors/Committee Members: Kami Anderson, Ph.D., Lance Crimm, M.S.E.E., P.E., Theodore Grosch, Ph.D..
Subjects/Keywords: Autofocus; FMCW; Radar; Radar imaging; Radar signal processing; Synthetic aperture radar; Electromagnetics and Photonics; Other Electrical and Computer Engineering; Signal Processing; VLSI and Circuits, Embedded and Hardware Systems
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APA (6th Edition):
Testin, N. J. (2017). Implementation of Range Autofocus for SAR Radar Imaging. (Thesis). Kennesaw State University. Retrieved from https://digitalcommons.kennesaw.edu/honors_etd/10
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Testin, Nicholas J. “Implementation of Range Autofocus for SAR Radar Imaging.” 2017. Thesis, Kennesaw State University. Accessed January 24, 2021.
https://digitalcommons.kennesaw.edu/honors_etd/10.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Testin, Nicholas J. “Implementation of Range Autofocus for SAR Radar Imaging.” 2017. Web. 24 Jan 2021.
Vancouver:
Testin NJ. Implementation of Range Autofocus for SAR Radar Imaging. [Internet] [Thesis]. Kennesaw State University; 2017. [cited 2021 Jan 24].
Available from: https://digitalcommons.kennesaw.edu/honors_etd/10.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Testin NJ. Implementation of Range Autofocus for SAR Radar Imaging. [Thesis]. Kennesaw State University; 2017. Available from: https://digitalcommons.kennesaw.edu/honors_etd/10
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
University of Toronto
23.
Hadizadehmoghaddam, Sepehr.
Simultaneous Execution of Multiple Radar Tasks using OFDMA.
Degree: 2017, University of Toronto
URL: http://hdl.handle.net/1807/79212
► We develop the notion of orthogonal frequency division multiple access (OFDMA) to enable a radar to execute multiple tasks simultaneously. OFDMA, like the betterknown orthogonal…
(more)
▼ We develop the notion of orthogonal frequency division multiple access (OFDMA) to
enable a radar to execute multiple tasks simultaneously. OFDMA, like the betterknown
orthogonal frequency division multiplexing (OFDM) radar, encodes information on
subcarriers in the frequency domain. However, in an OFDMA-based radar, the information
can correspond to independent tasks to be executed simultaneously; of specific interest
here, as proof of concept, is to partition the OFDMA subcarriers to detect two targets
simultaneously. Designing a broadband OFDMA signal is an efficient and resourceful
way to achieve this, since, as we propose, the frequency domain information for each
subcarrier can correspond to each task. Applied to a high-frequency surface wave radar, in
presence of a realistic ocean clutter, our results show that the OFDMA framework allows
us to combine adaptive transmit beampatterns with task execution. We also develop a
subcarrier allocation scheme to maximize the probability of detection.
M.A.S.
Advisors/Committee Members: Adve, Raviraj S, Electrical and Computer Engineering.
Subjects/Keywords: High Frequency Surface Wave Radar; Ocean Clutter; OFDM; OFDMA; Radar; Signal Processing; 0544
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APA (6th Edition):
Hadizadehmoghaddam, S. (2017). Simultaneous Execution of Multiple Radar Tasks using OFDMA. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/79212
Chicago Manual of Style (16th Edition):
Hadizadehmoghaddam, Sepehr. “Simultaneous Execution of Multiple Radar Tasks using OFDMA.” 2017. Masters Thesis, University of Toronto. Accessed January 24, 2021.
http://hdl.handle.net/1807/79212.
MLA Handbook (7th Edition):
Hadizadehmoghaddam, Sepehr. “Simultaneous Execution of Multiple Radar Tasks using OFDMA.” 2017. Web. 24 Jan 2021.
Vancouver:
Hadizadehmoghaddam S. Simultaneous Execution of Multiple Radar Tasks using OFDMA. [Internet] [Masters thesis]. University of Toronto; 2017. [cited 2021 Jan 24].
Available from: http://hdl.handle.net/1807/79212.
Council of Science Editors:
Hadizadehmoghaddam S. Simultaneous Execution of Multiple Radar Tasks using OFDMA. [Masters Thesis]. University of Toronto; 2017. Available from: http://hdl.handle.net/1807/79212
University of Washington
24.
Sun, Weiwei.
High Speed Passive Radar Receiver with Application to Digital Television Signals.
Degree: PhD, 2017, University of Washington
URL: http://hdl.handle.net/1773/40042
► In this dissertation we present initial results from the fourth generation receiver for the Manastash Ridge Radar (MRR), which is a distributed passive radar system…
(more)
▼ In this dissertation we present initial results from the fourth generation receiver for the Manastash Ridge
Radar (MRR), which is a distributed passive
radar system used for ionospheric physics and engineering studies. This receiver permits simultaneous access to the HF, VHF, and UHF spectrum by sampling at speeds up to 5 billion samples per second on each antennas. This system has large aggregate bandwidth; it can simultaneously collect the entire VHF FM broadcast band as well as several UHF DTV broadcasts. The digitizers have eight-bit precision. The wide bandwidth sampling (oversampling) means that it is possible to accurately sample narrowband signals whose amplitude is much less than the least sampling quantum. Most of the analog
signal path is eliminated, yielding excellent dynamic range, and high speed digital
signal processing yields low-latency real time operation. We also present initial data from such a receiver used to support passive bistatic
radar experiments. We discuss in detail algorithms to make effective use of the FPGA. For example, the sampler runs 8 or 16 times faster than the FPGA, so initial FPGA
processing requires parallel algorithms. In our design the downconverter passband center frequencies and spectral widths are selectable at run time, and can be changed in a few milliseconds. The FPGA operates in fixed point, which presents both opportunities and challenges in managing precision during the
signal processing, for networking, and for subsequent
signal processing. Data is sent off the receiver via one or more 10 GbE ports. In our current implementation system performance is limited primarily by network bandwidth. For
radar application, the
signal to clutter ratio is dominant for
radar system performance. DTV signals have a known structure which permits recovery of the original transmitted waveform from imperfect reception. With such a nearly ideal reference
signal, we are able to map the multipath and also improve the instantaneous dynamic range to over 100 dB with one-second coherent
processing, and thus detect the weak echoes from targets of interest, such as aircraft or ionospheric field-aligned irregularities, and pave the way for AoA estimates or interferometric imaging of these scatterers.
Advisors/Committee Members: Sahr, John D. (advisor).
Subjects/Keywords: Detection; Digital Signal Processing; Digital Television; FPGA; passive radar; radar system; Electrical engineering; Electrical engineering
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APA (6th Edition):
Sun, W. (2017). High Speed Passive Radar Receiver with Application to Digital Television Signals. (Doctoral Dissertation). University of Washington. Retrieved from http://hdl.handle.net/1773/40042
Chicago Manual of Style (16th Edition):
Sun, Weiwei. “High Speed Passive Radar Receiver with Application to Digital Television Signals.” 2017. Doctoral Dissertation, University of Washington. Accessed January 24, 2021.
http://hdl.handle.net/1773/40042.
MLA Handbook (7th Edition):
Sun, Weiwei. “High Speed Passive Radar Receiver with Application to Digital Television Signals.” 2017. Web. 24 Jan 2021.
Vancouver:
Sun W. High Speed Passive Radar Receiver with Application to Digital Television Signals. [Internet] [Doctoral dissertation]. University of Washington; 2017. [cited 2021 Jan 24].
Available from: http://hdl.handle.net/1773/40042.
Council of Science Editors:
Sun W. High Speed Passive Radar Receiver with Application to Digital Television Signals. [Doctoral Dissertation]. University of Washington; 2017. Available from: http://hdl.handle.net/1773/40042
University of Arizona
25.
Zhang, Renyuan.
mmWave Radar: Enhancing Resolution, Target Recognition, and Fusion with Other Sensors
.
Degree: 2019, University of Arizona
URL: http://hdl.handle.net/10150/636526
► Over the last decade, the advanced driver assistance system (ADAS) and autonomous driving research have grown rapidly. The entire automotive industry is looking forward to…
(more)
▼ Over the last decade, the advanced driver assistance system (ADAS) and autonomous driving research have grown rapidly. The entire automotive industry is looking forward to autonomous vehicles and ADAS technologies. Fully autonomous driving by the automobile model year 2021/2022 with security level 4 or 5 requires the use of multiple heterogeneous sensors' system. Automotive sensors, such as camera, millimeter (mmWave)
radar and lidar, have evolved fast in
signal processing for the perception of surroundings. Sensor fusion and deep learning to understand the environment implemented in automobiles are drastically changing the current sensor research. The automotive
radar has been served as an essential sensor in the race to develop ADAS and autonomous vehicles. Its affordable price and reliable detection are raising attention from both industry and academia. In 2018, shipments of passenger automotive radars have grown 54 % in units compared to 2017. Another trend is that with camera and
radar getting fused, it can provide more reliable ADAS capabilities. In this dissertation, a series of
signal processing techniques are studied for improving the resolution and target recognition of mmWave
radar. First, a sensor fusion technique for better tracking and detecting targets using mmWave
radar and camera is presented. The fusion system takes consideration of error bounds (EBs) of the two different coordinate systems from the heterogeneous sensors, and further designed a new fusion extended Kalman filter (fusion-EKF) to adapt to the two sensors. The details such as synchronization between sensors, multi-target tracking, and association are also considered and illustrated. The experiment shows that the proposed fusion system can realize a range accuracy of 0.29 m with an angular accuracy of 0.013 rad in real-time. Therefore, the proposed fusion system is effective, reliable and computationally efficient for real-time kinematic fusion applications. A clustering method, REDBSCAN, for
radar point cloud data is also presented. Secondly, for enhancing target recognition, a neural network is developed for mmWave
radar to classify human behavior in real-time. Thirdly, to improve the angular resolution for mmWave
radar, a circular synthetic aperture
radar MMWCSAR with high-resolution technique, e.g., compressed sensing is presented.
Advisors/Committee Members: Cao, Siyang (advisor), Ditzler, Gregory (committeemember), Li, Ming (committeemember).
Subjects/Keywords: Kalman filter;
micro-Doppler signatures;
mmWave radar;
sensor fusion;
signal processing;
synthetic aperture radar
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APA ·
Chicago ·
MLA ·
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CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Zhang, R. (2019). mmWave Radar: Enhancing Resolution, Target Recognition, and Fusion with Other Sensors
. (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/636526
Chicago Manual of Style (16th Edition):
Zhang, Renyuan. “mmWave Radar: Enhancing Resolution, Target Recognition, and Fusion with Other Sensors
.” 2019. Doctoral Dissertation, University of Arizona. Accessed January 24, 2021.
http://hdl.handle.net/10150/636526.
MLA Handbook (7th Edition):
Zhang, Renyuan. “mmWave Radar: Enhancing Resolution, Target Recognition, and Fusion with Other Sensors
.” 2019. Web. 24 Jan 2021.
Vancouver:
Zhang R. mmWave Radar: Enhancing Resolution, Target Recognition, and Fusion with Other Sensors
. [Internet] [Doctoral dissertation]. University of Arizona; 2019. [cited 2021 Jan 24].
Available from: http://hdl.handle.net/10150/636526.
Council of Science Editors:
Zhang R. mmWave Radar: Enhancing Resolution, Target Recognition, and Fusion with Other Sensors
. [Doctoral Dissertation]. University of Arizona; 2019. Available from: http://hdl.handle.net/10150/636526
University of Dayton
26.
Christman, Jordan Louis.
Efficient Digital Spotlighting Phase History Re-Centering
Hardware Implementation.
Degree: MS(M.S.), Electrical Engineering, 2016, University of Dayton
URL: http://rave.ohiolink.edu/etdc/view?acc_num=dayton1480934083897465
► This thesis focuses on the study of the SAR algorithm digital spotlighting and the hardware implementation of the phase history re-centering portion of the algorithm.…
(more)
▼ This thesis focuses on the study of the SAR algorithm
digital spotlighting and the hardware implementation of the phase
history re-centering portion of the algorithm. The phase history
re-centering portion of the digital spotlighting algorithm
re-centers the phase history data with respect to the new scene
center. This thesis provides a solution that allows for a single
precision implementation of the phase history re-centering in
hardware that provides comparable results to that of a double
precision implementation. In order to attain a higher order of
precision the frequency sample values were scaled. Scaling the
frequency samples allows the use of single precision floating point
data types while maintaining on average 8 decimal places of
precision when compared to a double precision floating point data
type implementation. By using single precision floating point data
types a resource reduction of 46% can be achieved when compared to
a double precision floating point data types. The hardware
implementation of the phase history re-centering core provides a
possible 36X speed up when compared to the MATLAB implementation.
Leveraging this design would be a major step towards implementing
the entire digital spotlighting algorithm on a low SWAP(Size Weight
and Power) system. This low SWAP system may include platforms such
as UAV's or any other SWAP constrained system.
Advisors/Committee Members: Balster, Eric (Advisor).
Subjects/Keywords: Engineering; Electrical Engineering; Synthetic Aperture Radar; Digital Spotlighting; DSP Builder; Radar Signal Processing
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APA (6th Edition):
Christman, J. L. (2016). Efficient Digital Spotlighting Phase History Re-Centering
Hardware Implementation. (Masters Thesis). University of Dayton. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=dayton1480934083897465
Chicago Manual of Style (16th Edition):
Christman, Jordan Louis. “Efficient Digital Spotlighting Phase History Re-Centering
Hardware Implementation.” 2016. Masters Thesis, University of Dayton. Accessed January 24, 2021.
http://rave.ohiolink.edu/etdc/view?acc_num=dayton1480934083897465.
MLA Handbook (7th Edition):
Christman, Jordan Louis. “Efficient Digital Spotlighting Phase History Re-Centering
Hardware Implementation.” 2016. Web. 24 Jan 2021.
Vancouver:
Christman JL. Efficient Digital Spotlighting Phase History Re-Centering
Hardware Implementation. [Internet] [Masters thesis]. University of Dayton; 2016. [cited 2021 Jan 24].
Available from: http://rave.ohiolink.edu/etdc/view?acc_num=dayton1480934083897465.
Council of Science Editors:
Christman JL. Efficient Digital Spotlighting Phase History Re-Centering
Hardware Implementation. [Masters Thesis]. University of Dayton; 2016. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=dayton1480934083897465
University of Oklahoma
27.
Schvartzman, David.
Signal Processing Techniques and Concept of Operations for Polarimetric Rotating Phased Array Radar.
Degree: PhD, 2020, University of Oklahoma
URL: http://hdl.handle.net/11244/326580
► The Weather Surveillance Radar 1988 Doppler (WSR-88D) network has been operational for over 30 years and is still the primary observational instrument employed by the…
(more)
▼ The Weather Surveillance
Radar 1988 Doppler (WSR-88D) network has been operational for over 30 years and is still the primary observational instrument employed by the National Weather Service (NWS) forecasters to support their critical mission of issuing severe weather warnings and forecasts in the United States. Nevertheless, the WSR-88Ds have exceeded their engineering design lifespan and are projected to reach the end of operational lifetime by 2040. Technological limitations may prevent the WSR-88D to meet demanding functional requirements for future observational needs. The National Oceanic and Atmospheric Administration (NOAA) has started considering
radar systems with advanced capabilities for the eventual replacement of the WSR-88D. Unique and flexible capabilities offered by Phased Array
Radar (PAR) technology support the required enhanced weather surveillance strategies that are envisioned to improve the weather
radar products, making PAR technology an attractive candidate for the next generation of weather radars. If PAR technology is to replace the operational WSR-88D, important decisions must be made regarding the architecture that will be needed to meet the functional requirements. A four-faced planar PAR (4F-PAR) is expected to achieve the requirements set forth by NOAA and the NWS, but deploying and maintaining an operational network of these radars across the U.S. will likely be unaffordable. A more affordable alternative
radar system is based on a single-face Rotating PAR (RPAR) architecture, which is capable of exceeding the functionality provided by the WSR-88D network. This dissertation is focused on exploring advanced RPAR scanning techniques in support of meeting future
radar functional requirements. A survey of unique RPAR capabilities is conducted to determine which ones could be exploited under an RPAR Concept of Operations (CONOPS). Three capabilities are selected for further investigation: beam agility, digital beamforming, and dwell flexibility. The RPARs beam agility is exploited to minimize the beam smearing that results from the rotation of the antenna system over the collection of samples in the coherent
processing interval. The use of digital beamforming is investigated as a possible way to reduce the scan time and/or the variance of estimates. The RPAR's dwell flexibility capability is explored as a possible way to tailor the scan to meteorological observations with the goal of improving data quality. Three advanced RPAR scanning techniques are developed exploiting these capabilities, and their performance in support of meeting the
radar functional requirements is quantified. The proposed techniques are implemented on the Advanced Technology Demonstrator (ATD), a dual-polarization RPAR system at the National Severe Storms Laboratory (NSSL) in Norman, OK. Data collection experiments are conducted with the ATD to demonstrate the performance of the proposed techniques for dual-polarization observations. Results are verified by quantitatively comparing fields of
radar-variable…
Advisors/Committee Members: Yu, Tian-You (advisor), Torres, Sebastian (committee member), Yeary, Mark (committee member), Salazar-Cerreno, Jorge (committee member), Wang, Ying (committee member).
Subjects/Keywords: Weather Radar; Polarimetric Phased Array Radar; Signal Processing; Concept of Operations; Digital Beamdorming
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APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Schvartzman, D. (2020). Signal Processing Techniques and Concept of Operations for Polarimetric Rotating Phased Array Radar. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/326580
Chicago Manual of Style (16th Edition):
Schvartzman, David. “Signal Processing Techniques and Concept of Operations for Polarimetric Rotating Phased Array Radar.” 2020. Doctoral Dissertation, University of Oklahoma. Accessed January 24, 2021.
http://hdl.handle.net/11244/326580.
MLA Handbook (7th Edition):
Schvartzman, David. “Signal Processing Techniques and Concept of Operations for Polarimetric Rotating Phased Array Radar.” 2020. Web. 24 Jan 2021.
Vancouver:
Schvartzman D. Signal Processing Techniques and Concept of Operations for Polarimetric Rotating Phased Array Radar. [Internet] [Doctoral dissertation]. University of Oklahoma; 2020. [cited 2021 Jan 24].
Available from: http://hdl.handle.net/11244/326580.
Council of Science Editors:
Schvartzman D. Signal Processing Techniques and Concept of Operations for Polarimetric Rotating Phased Array Radar. [Doctoral Dissertation]. University of Oklahoma; 2020. Available from: http://hdl.handle.net/11244/326580
Brno University of Technology
28.
Piňos, Michal.
Radarové měření pro rychlostní disciplíny: Radar-Based Measurement for Speed Disciplines.
Degree: 2019, Brno University of Technology
URL: http://hdl.handle.net/11012/69622
► The aim of this bachelor thesis is radar-based measurement for speed disciplines. For this purpose, the Doppler radar with continuous wave was used, K-MC4 to…
(more)
▼ The aim of this bachelor thesis is
radar-based measurement for speed disciplines. For this purpose, the Doppler
radar with continuous wave was used, K-MC4 to be specific. Standard
signal processing techniques were used to extract the speed information from the
radar signal. The key method for obtaining Doppler frequency from
signal is Fourier transform. Cosine effect is compensated based on the computed angle.The result of this work is a detector capable of measuring speed and direction of measured objects. Implemented solution also allows the detection of certain objects.
Advisors/Committee Members: Maršík, Lukáš (advisor), Široký, Adam (referee).
Subjects/Keywords: radar; měření rychlosti; radar s kontinuální vlnou; FFT; zpracování signálu; DSP; Dopplerův jev; Dopplerův radar; radar; speed measurement; continuous wave radar; FFT; signal processing; DSP; Doppler effect; Doppler radar
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APA ·
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APA (6th Edition):
Piňos, M. (2019). Radarové měření pro rychlostní disciplíny: Radar-Based Measurement for Speed Disciplines. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/69622
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Piňos, Michal. “Radarové měření pro rychlostní disciplíny: Radar-Based Measurement for Speed Disciplines.” 2019. Thesis, Brno University of Technology. Accessed January 24, 2021.
http://hdl.handle.net/11012/69622.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Piňos, Michal. “Radarové měření pro rychlostní disciplíny: Radar-Based Measurement for Speed Disciplines.” 2019. Web. 24 Jan 2021.
Vancouver:
Piňos M. Radarové měření pro rychlostní disciplíny: Radar-Based Measurement for Speed Disciplines. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Jan 24].
Available from: http://hdl.handle.net/11012/69622.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Piňos M. Radarové měření pro rychlostní disciplíny: Radar-Based Measurement for Speed Disciplines. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/69622
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
29.
Abbasi, Zia Ahmad.
Discrete coded waveforms for signal processing in
radar;.
Degree: Electronics Engineering, 1997, Aligarh Muslim University
URL: http://shodhganga.inflibnet.ac.in/handle/10603/52772
Abstract available newline newline
Bibliography p. 123-128, Appendix p.
109-117
Advisors/Committee Members: Ghani, Farid.Subjects/Keywords: Waveforms; Processing; Radar; Discrete;
Signal
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APA ·
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Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Abbasi, Z. A. (1997). Discrete coded waveforms for signal processing in
radar;. (Thesis). Aligarh Muslim University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/52772
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Abbasi, Zia Ahmad. “Discrete coded waveforms for signal processing in
radar;.” 1997. Thesis, Aligarh Muslim University. Accessed January 24, 2021.
http://shodhganga.inflibnet.ac.in/handle/10603/52772.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Abbasi, Zia Ahmad. “Discrete coded waveforms for signal processing in
radar;.” 1997. Web. 24 Jan 2021.
Vancouver:
Abbasi ZA. Discrete coded waveforms for signal processing in
radar;. [Internet] [Thesis]. Aligarh Muslim University; 1997. [cited 2021 Jan 24].
Available from: http://shodhganga.inflibnet.ac.in/handle/10603/52772.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Abbasi ZA. Discrete coded waveforms for signal processing in
radar;. [Thesis]. Aligarh Muslim University; 1997. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/52772
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Penn State University
30.
Kang, Bosung.
Robust Covariance Matrix Estimation for Radar Space-Time Adaptive Processing (STAP).
Degree: 2015, Penn State University
URL: https://submit-etda.libraries.psu.edu/catalog/26539
► Estimating the disturbance or clutter covariance is a centrally important problem in radar space time adaptive processing (STAP) since estimation of the disturbance or interference…
(more)
▼ Estimating the disturbance or clutter covariance is a centrally important problem in
radar space time adaptive
processing (STAP) since estimation of the disturbance or interference covariance matrix plays a central role on
radar target detection in the presence of clutter, noise and a jammer. The disturbance covariance matrix should be inferred from training sample observations in practice. Traditional maximum likelihood (ML) estimators are effective when homogeneous (target free) training data is abundant but lead to poor estimates, degraded false alarm rates, and detection loss in the regime of limited training. However, large number of homogeneous training samples are generally not available because of difficulty of guaranteeing target free disturbance observation, practical limitations imposed by the spatio-temporal nonstationarity, and system considerations. The problem has been exacerbated by recent advances that have led to more antenna elements (J) and higher temporal resolution (P) time epochs resulting in a large dimension (N = JP).
In this dissertation, we look to address the aforementioned challenges by exploiting physically inspired constraints into ML estimation. While adding constraints is beneficial to achieve satisfactory performance in the practical regime of limited training, it leads to a challenging problem. Unlike unconstrained estimators, a vast majority of constrained
radar STAP estimators are iterative and expensive numerically, which prohibits practical deployment. We focus on breaking this classical trade-off between computational tractability and desirable performance measures, particularly in training starved regimes. In particular, we exploit both the structure of the disturbance covariance and importantly the knowledge of the clutter rank to yield a new rank constrained maximum likelihood (RCML) estimator of clutter/disturbance covariance. We demonstrate that the rank-constrained estimation problem can in fact be cast in the framework of a tractable convex optimization problem, and derive closed form expressions for the estimated covariance matrix. In addition, we derive a new covariance estimator for STAP that jointly considers a Toeplitz structure and a rank constraint on the clutter component. Past work has shown that in the regime of low training, even handling each constraint individually is hard and techniques often resort to slow numerically based solutions. Our proposed solution leverages the rank constrained ML estimator (RCML) of structured covariances to build a computationally friendly approximation that involves a cascade of two closed form solutions. Performance analysis using the KASSPER data set (where ground truth covariance is made available) shows that the proposed RCML estimator vastly outperforms state-of-the art alternatives even for low training including the notoriously difficult regime of K <= N training regimes and for the experiments considering real-world scenarios such as target detection performance and the case that some of training samples are corrupted…
Advisors/Committee Members: Vishal Monga, Dissertation Advisor/Co-Advisor, David Miller, Committee Member, Constantino Manuel Lagoa, Committee Member, Jesse Louis Barlow, Committee Member.
Subjects/Keywords: convex optimization; STAP; radar signal processing; constrained optimization; detection and estimation
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APA ·
Chicago ·
MLA ·
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CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Kang, B. (2015). Robust Covariance Matrix Estimation for Radar Space-Time Adaptive Processing (STAP). (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/26539
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Kang, Bosung. “Robust Covariance Matrix Estimation for Radar Space-Time Adaptive Processing (STAP).” 2015. Thesis, Penn State University. Accessed January 24, 2021.
https://submit-etda.libraries.psu.edu/catalog/26539.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Kang, Bosung. “Robust Covariance Matrix Estimation for Radar Space-Time Adaptive Processing (STAP).” 2015. Web. 24 Jan 2021.
Vancouver:
Kang B. Robust Covariance Matrix Estimation for Radar Space-Time Adaptive Processing (STAP). [Internet] [Thesis]. Penn State University; 2015. [cited 2021 Jan 24].
Available from: https://submit-etda.libraries.psu.edu/catalog/26539.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Kang B. Robust Covariance Matrix Estimation for Radar Space-Time Adaptive Processing (STAP). [Thesis]. Penn State University; 2015. Available from: https://submit-etda.libraries.psu.edu/catalog/26539
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
◁ [1] [2] [3] [4] [5] [6] [7] [8] ▶
. 
Open Access Theses and Dissertations