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You searched for subject:(Radar position measurement). Showing records 1 – 3 of 3 total matches.

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University of Pretoria

1. [No author]. A comprehensive investigation of retrodirective cross-eye jamming .

Degree: 2010, University of Pretoria

Cross-eye jamming is an Electronic Attack (EA) technique that induces an angular error in the radar being jammed. The main benefit of cross-eye jamming is that it is effective against monopulse tracking radars, which are largely immune to other forms of jamming. The objective of this research is to gain a complete understanding of cross-eye jamming so that systems that might be developed in future can be properly specied. The main contribution of this work is a comprehensive mathematical and experimental study of retrodirective cross-eye jamming. The mathematical analysis considers all aspects of an isolated, single-loop, retrodirective cross-eye jamming engagement, thereby avoiding the approximations inherent in other cross-eye jamming analyses. Laboratory experiments that accurately represent reality by using the radar for both transmission and reception, and simulating a true retrodirective cross-eye jammer were performed to validate the theoretical analysis. Lastly, the relationship between the angular error induced in the radar being jammed and the matching required from a cross-eye jammer system is explored. The most important conclusion of this work is that the traditional analyses of cross- eye jamming are inaccurate for the conditions under which cross-eye jammers operate. These inaccuracies mean that the traditional analyses are overly conservative, particularly at short ranges and for high cross-eye gains, suggesting that practical cross-eye jammers can be realised more easily than is generally believed. Advisors/Committee Members: Odendaal, J.W. (Johann Wilhelm) (advisor), Joubert, Johan (advisor).

Subjects/Keywords: And radar; Jamming; Radar position measurement; Radar measurements; Radar antennas; Radar tracking; Monopulse radar; Radar countermeasures; Electronic countermeasures; Electronic warfare; UCTD

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

APA (6th Edition):

author], [. (2010). A comprehensive investigation of retrodirective cross-eye jamming . (Doctoral Dissertation). University of Pretoria. Retrieved from http://upetd.up.ac.za/thesis/available/etd-06122010-215639/

Chicago Manual of Style (16th Edition):

author], [No. “A comprehensive investigation of retrodirective cross-eye jamming .” 2010. Doctoral Dissertation, University of Pretoria. Accessed October 21, 2020. http://upetd.up.ac.za/thesis/available/etd-06122010-215639/.

MLA Handbook (7th Edition):

author], [No. “A comprehensive investigation of retrodirective cross-eye jamming .” 2010. Web. 21 Oct 2020.

Vancouver:

author] [. A comprehensive investigation of retrodirective cross-eye jamming . [Internet] [Doctoral dissertation]. University of Pretoria; 2010. [cited 2020 Oct 21]. Available from: http://upetd.up.ac.za/thesis/available/etd-06122010-215639/.

Council of Science Editors:

author] [. A comprehensive investigation of retrodirective cross-eye jamming . [Doctoral Dissertation]. University of Pretoria; 2010. Available from: http://upetd.up.ac.za/thesis/available/etd-06122010-215639/


University of Pretoria

2. Du Plessis, W.P. (Warren Paul). A comprehensive investigation of retrodirective cross-eye jamming.

Degree: Electrical, Electronic and Computer Engineering, 2010, University of Pretoria

Cross-eye jamming is an Electronic Attack (EA) technique that induces an angular error in the radar being jammed. The main benefit of cross-eye jamming is that it is effective against monopulse tracking radars, which are largely immune to other forms of jamming. The objective of this research is to gain a complete understanding of cross-eye jamming so that systems that might be developed in future can be properly specied. The main contribution of this work is a comprehensive mathematical and experimental study of retrodirective cross-eye jamming. The mathematical analysis considers all aspects of an isolated, single-loop, retrodirective cross-eye jamming engagement, thereby avoiding the approximations inherent in other cross-eye jamming analyses. Laboratory experiments that accurately represent reality by using the radar for both transmission and reception, and simulating a true retrodirective cross-eye jammer were performed to validate the theoretical analysis. Lastly, the relationship between the angular error induced in the radar being jammed and the matching required from a cross-eye jammer system is explored. The most important conclusion of this work is that the traditional analyses of cross- eye jamming are inaccurate for the conditions under which cross-eye jammers operate. These inaccuracies mean that the traditional analyses are overly conservative, particularly at short ranges and for high cross-eye gains, suggesting that practical cross-eye jammers can be realised more easily than is generally believed. Advisors/Committee Members: Odendaal, J.W. (Johann Wilhelm) (advisor), Joubert, Johan (advisor).

Subjects/Keywords: And radar; Jamming; Radar position measurement; Radar measurements; Radar antennas; Radar tracking; Monopulse radar; Radar countermeasures; Electronic countermeasures; Electronic warfare; UCTD

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

APA (6th Edition):

Du Plessis, W. P. (. P. (2010). A comprehensive investigation of retrodirective cross-eye jamming. (Doctoral Dissertation). University of Pretoria. Retrieved from http://hdl.handle.net/2263/25480

Chicago Manual of Style (16th Edition):

Du Plessis, W P (Warren Paul). “A comprehensive investigation of retrodirective cross-eye jamming.” 2010. Doctoral Dissertation, University of Pretoria. Accessed October 21, 2020. http://hdl.handle.net/2263/25480.

MLA Handbook (7th Edition):

Du Plessis, W P (Warren Paul). “A comprehensive investigation of retrodirective cross-eye jamming.” 2010. Web. 21 Oct 2020.

Vancouver:

Du Plessis WP(P. A comprehensive investigation of retrodirective cross-eye jamming. [Internet] [Doctoral dissertation]. University of Pretoria; 2010. [cited 2020 Oct 21]. Available from: http://hdl.handle.net/2263/25480.

Council of Science Editors:

Du Plessis WP(P. A comprehensive investigation of retrodirective cross-eye jamming. [Doctoral Dissertation]. University of Pretoria; 2010. Available from: http://hdl.handle.net/2263/25480

3. 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 nearby traffic objects plays an important role. Validation of the tracking performance is often done in staged traffic scenarios, where additional sensors, mounted on the vehicles, are used to obtain their true positions and velocities. The difficulty of evaluating the tracking performance complicates its development. An alternative approach studied in this thesis, is to record sequences and use non-causal algorithms, such as smoothing, instead of filtering to estimate the true target states. With this method, validation data for online, causal, target tracking algorithms can be obtained for all traffic scenarios without the need of extra sensors. We investigate how non-causal algorithms affects the target tracking performance using multiple sensors and dynamic models of different complexity. This is done to evaluate real-time methods against estimates obtained from non-causal filtering. Two different measurement units, a monocular camera and a LIDAR sensor, and two dynamic models are evaluated and compared using both causal and non-causal methods. The system is tested in two single object scenarios where ground truth is available and in three multi object scenarios without ground truth. Results from the two single object scenarios shows that tracking using only a monocular camera performs poorly since it is unable to measure the distance to objects. Here, a complementary LIDAR sensor improves the tracking performance significantly. The dynamic models are shown to have a small impact on the tracking performance, while the non-causal application gives a distinct improvement when tracking objects at large distances. Since the sequence can be reversed, the non-causal estimates are propagated from more certain states when the target is closer to the ego vehicle. For multiple object tracking, we find that correct associations between measurements and tracks are crucial for improving the tracking performance with non-causal algorithms.

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

…covariance Measurement Input Process noise Process noise covariance Measurement noise Measurement… …EKF RTS TFS SPRT ADAS GNN ROI IMU LIDAR RADAR CNN CV PDF DGPS Meaning Extended Kalman… …Measurement Unit Light Detection And Ranging Radio Detection And Ranging Convolutional Neural… …true state A target that has neither been rejected nor confirmed as a track Measurement… …ROI measurement of a vehicle . . . . . . . . . . . . . . . . . A brief overview of the… 

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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 21, 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. 21 Oct 2020.

Vancouver:

Vestin A. Evaluation of Target Tracking Using Multiple Sensors and Non-Causal Algorithms. [Internet] [Thesis]. Linköping University; 2019. [cited 2020 Oct 21]. 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

.