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You searched for subject:(Radar Signal Processing). Showing records 1 – 30 of 212 total matches.

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Florida International University

1. Geng, Zhe. Radar Signal Processing for Interference Mitigation.

Degree: PhD, Electrical Engineering, 2018, Florida International University

  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)

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

 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)

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)

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)

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

 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)

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

 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)

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

 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)

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

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)

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

 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)

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

 “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)

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

 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)

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

 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)

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

 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)

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

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)

Subjects/Keywords: Radar sinyal işleme; Kara sınıflandırma; Radar signal processing; Land classification

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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

 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)

Subjects/Keywords: CW radar; spracovanie analógového signálu; digitalizácia signálu; CW radar; analog signal processing; signal digitization

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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

  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)

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

 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)

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

 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)

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

 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)

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

 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)

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

 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)

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

  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)

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

  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)

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

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)

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

 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)

Subjects/Keywords: Detection; Digital Signal Processing; Digital Television; FPGA; passive radar; radar system; Electrical engineering; Electrical engineering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

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

 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)

Subjects/Keywords: Kalman filter; micro-Doppler signatures; mmWave radar; sensor fusion; signal processing; synthetic aperture radar

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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

 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)

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

 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)

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

 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)

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 (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

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 (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

 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)

Subjects/Keywords: convex optimization; STAP; radar signal processing; constrained optimization; detection and estimation

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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

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