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You searched for subject:(multi function radar). Showing records 1 – 4 of 4 total matches.

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University of Oklahoma

1. 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 October 22, 2020. http://hdl.handle.net/11244/316749.

MLA Handbook (7th Edition):

Nepal, Ramesh. “Advanced Signal Processing For Multi-Mission Airborne Radar.” 2018. Web. 22 Oct 2020.

Vancouver:

Nepal R. Advanced Signal Processing For Multi-Mission Airborne Radar. [Internet] [Doctoral dissertation]. University of Oklahoma; 2018. [cited 2020 Oct 22]. 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


University of Illinois – Urbana-Champaign

2. Guan, Jian. Multi-solver schemes for electromagnetic modeling of large and complex objects.

Degree: PhD, Electrical & Computer Engr, 2017, University of Illinois – Urbana-Champaign

 The work in this dissertation primarily focuses on the development of numerical algorithms for electromagnetic modeling of large and complex objects. First, a GPU-accelerated multilevel… (more)

Subjects/Keywords: Boundary integral equation; Buffa-Christiansen function; Combined field integral equation (CFIE); Compute unified device architecture (CUDA); Electromagnetic scattering; Finite element method; Finite element-boundary integral (FE-BI); Hybrid parallel programming model; Multi-graphics processing unit (GPU); Message passing interface (MPI); Multilevel fast multipole algorithm; Multi-solver scheme; Open Multi-Processing (OpenMP); Radar cross section; Robin transmission condition; Method of moments (MoM)

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APA (6th Edition):

Guan, J. (2017). Multi-solver schemes for electromagnetic modeling of large and complex objects. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/98097

Chicago Manual of Style (16th Edition):

Guan, Jian. “Multi-solver schemes for electromagnetic modeling of large and complex objects.” 2017. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed October 22, 2020. http://hdl.handle.net/2142/98097.

MLA Handbook (7th Edition):

Guan, Jian. “Multi-solver schemes for electromagnetic modeling of large and complex objects.” 2017. Web. 22 Oct 2020.

Vancouver:

Guan J. Multi-solver schemes for electromagnetic modeling of large and complex objects. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2017. [cited 2020 Oct 22]. Available from: http://hdl.handle.net/2142/98097.

Council of Science Editors:

Guan J. Multi-solver schemes for electromagnetic modeling of large and complex objects. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2017. Available from: http://hdl.handle.net/2142/98097

3. Jameson, Brian Douglas. A NOVEL MULTI-FUNCTIONAL SOFTWARE-DEFINED RADAR: THEORY & EXPERIMENTS.

Degree: MS, Computational Science and Engineering, 2013, Miami University

 This thesis presents theoretical analysis and experimental evidence to demonstrate the feasibility of an ultra-wideband (UWB) software-defined radar sensor (SDRS) for simultaneous platform positioning and… (more)

Subjects/Keywords: Engineering; radar; OFDM; autonomous; UWB; software; software-defined; software defined; orthogonal frequency divisition multiplexing; detection; navigation; profiles; diversity; ultra-wideband; SDRS; sensors; multi-function

…the implementation of a multi-function software-defined radar sensor (SDRS) for use… …leading to rapid multi-function radio frequency (RF) systems that are in place today… …BER) of 0.002 at 1Mb/s. In these emerging multi-function RF-based applications, UWB… …detection and location estimation of targets. It is this fundamental function that sets a radar… …Chapter 1 Introduction Radar methodology became ubiquitous in the 1930s, ultimately… 

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

APA (6th Edition):

Jameson, B. D. (2013). A NOVEL MULTI-FUNCTIONAL SOFTWARE-DEFINED RADAR: THEORY & EXPERIMENTS. (Masters Thesis). Miami University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=miami1375821039

Chicago Manual of Style (16th Edition):

Jameson, Brian Douglas. “A NOVEL MULTI-FUNCTIONAL SOFTWARE-DEFINED RADAR: THEORY & EXPERIMENTS.” 2013. Masters Thesis, Miami University. Accessed October 22, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=miami1375821039.

MLA Handbook (7th Edition):

Jameson, Brian Douglas. “A NOVEL MULTI-FUNCTIONAL SOFTWARE-DEFINED RADAR: THEORY & EXPERIMENTS.” 2013. Web. 22 Oct 2020.

Vancouver:

Jameson BD. A NOVEL MULTI-FUNCTIONAL SOFTWARE-DEFINED RADAR: THEORY & EXPERIMENTS. [Internet] [Masters thesis]. Miami University; 2013. [cited 2020 Oct 22]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=miami1375821039.

Council of Science Editors:

Jameson BD. A NOVEL MULTI-FUNCTIONAL SOFTWARE-DEFINED RADAR: THEORY & EXPERIMENTS. [Masters Thesis]. Miami University; 2013. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=miami1375821039

4. Vestin, Albin. Evaluation of Target Tracking Using Multiple Sensors and Non-Causal Algorithms.

Degree: Automatic Control, 2019, Linköping University

  Today, the main research field for the automotive industry is to find solutions for active safety. In order to perceive the surrounding environment, tracking… (more)

Subjects/Keywords: evaluation; target tracking; multiple sensors; non-causal; smoother; smoothing; tracking; vehicle tracking; camera; lidar; estimate; estimation; prediction; vehicle dynamics; sensor fusion; real-time tracking; extended kalman filter; filter validation; validation; position estimation; velocity estimation; dynamic model; model complexity; multi object tracking; multiple object; tracking; single object tracking; data association; tracking fundamentals; iterated kalman filter; track management; gnn; global nearest neighbour; mahalanobis; mahalanobis distance; performance evaluation; differential gps; dgps; roi; ego; several sensors; sensors; rmse; root mean square error; invertible motion; anti-causal motion; anti-causal tracking; constant velocity; gnn; imu; tfs; two filter smoother; ekf; rts; radar; inertial measurement unit; nonlinear; nonlinear systems; mono camera; monocular camera; noise model; tracking performance; fixed interval smoothing; m/n logic; centralized fusion; non-causal object tracker; car tracking; car dynamics; automotive; active safety; object tracking; automotive industry; thesis; master; reverse dynamics; reverse tracking; reverse sequence; sequence tracking; data propagation; ground truth; estimating ground truth; additional sensors; mounted sensors; true estimates; environment; comparison; algorithm; independent targets; overlapping; measurements; occluded; track switch; improve; lower; uncertainty; more; certain; state; process; noise; covariance; sampling; image; sprt; adas; cnn; cv; pdf; track; target; ego; tracker; tentative track; observatiom; online tracking; offline tracking; online; offline; recorded; sequences; robust; self driving; self-driving; car; traffic; trajectory; true state; scenario; scenarios; future; accurate; output; advanced; driver; assistance; systems; non-linear; complex noise; pedestrian; truck; bus; maneuvering; vehicles; processed; measurement; frame; state; correction; probability; density; function; tuning; likelihood; transition; measurement; motion; model; recursion; gaussian; approximation; distribution; linear; jacobian; multiplicative; noise; ratio; ad; hoc; ad hoc; state; space; approach; backward; auction; euclidean; distance; statistical; threshold; gating; association; margin; normalize; covariance; matrix; fusion; confirmed; rejected; tentative; history; absolute; error; modular; ego motion; parameters; variables; logg; hardware; specification; fused; causal; factorization; independent; uncorrelated; transform; moving; rotation; translation; oncoming; overtaking; Control Engineering; Reglerteknik

…Comparison . . . . . . . 4.2 Multi Object Tracking . . . . . . . . . 4.2.1 Scenario 3: Independent… …5.1.4 Multi Object Tracking . 5.2 Future Work… …matrix A Probability density function of x given θ Equal by definition Estimate of stochastic… …variable x Partial derivative of function f on variable x Time derivative of x ix x Notation… …EKF RTS TFS SPRT ADAS GNN ROI IMU LIDAR RADAR CNN CV PDF DGPS Meaning Extended Kalman… 

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

APA (6th Edition):

Vestin, A. (2019). Evaluation of Target Tracking Using Multiple Sensors and Non-Causal Algorithms. (Thesis). Linköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-160020

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):

Vestin, Albin. “Evaluation of Target Tracking Using Multiple Sensors and Non-Causal Algorithms.” 2019. Thesis, Linköping University. Accessed October 22, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-160020.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Vestin, Albin. “Evaluation of Target Tracking Using Multiple Sensors and Non-Causal Algorithms.” 2019. Web. 22 Oct 2020.

Vancouver:

Vestin A. Evaluation of Target Tracking Using Multiple Sensors and Non-Causal Algorithms. [Internet] [Thesis]. Linköping University; 2019. [cited 2020 Oct 22]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-160020.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Vestin A. Evaluation of Target Tracking Using Multiple Sensors and Non-Causal Algorithms. [Thesis]. Linköping University; 2019. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-160020

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

.