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Measurement Accuracy Evaluation for Passive Radar Systems

Alslaimy, Moayad A
http://rave.ohiolink.edu/etdc/view?acc_num=osu1594586891570641

Abstract Details

2020, Doctor of Philosophy, Ohio State University, Electrical and Computer Engineering.
Passive radar systems often exploit multiple transmitters, so even if there is just one receiver site there can still be many bistatic geometries. While this configuration can dramatically improve the coverage of the radar, it can also exacerbate the spatial variation of the performance already inherent in a bistatic radar geometry. Computation of the bistatic Cramer-Rao lower bound (CRLB) for the range and velocity measurement accuracy provides a quantitative method for evaluating the performance variation. In turn, this understanding can enhance the “illuminator selection”, a methodology used to determine the illuminator that provides the best estimation accuracy for the target parameters, which is then used to minimize the estimation error and therefore improve the detection and tracking performance of the passive radar system. The monostatic and bistatic CRLB is calculated for the advanced television systems committee (ATSC) signal that is a pervasive waveform to exploit for North American passive radar systems. A relationship between the ambiguity function of the signal and the CRLB will be used to estimate the bounds of the range and velocity measurements. The effect of the 3D geometry in the CRLB is addressed by taking into account the receiver, transmitter, and target altitudes. The 3D range and velocity modified CRLB (MCRLB) are analyzed for different bistatic geometries available in the Columbus, Ohio area for a single receiver located at The Ohio State University ElectroScience Laboratory (OSU-ESL). The performance of multiple digital TV illuminators is evaluated to select the optimal illuminator that exhibits the lowest MCRLB. The use of multiple transmitters simultaneously in a multistatic radar configuration improves the radar performance, and increase the resolution. The MCRLB for passive multistatic radar systems using the ATSC signal as a signal of opportunity is analyzed for the localization and bistatic parameters. Closed-form expressions are derived for the non-coherent processing scenario. Numerical examples are provided to compute the MCRLB for multiple transmitters in Columbus, Ohio, and one receiver located at OSU-ESL. The impact of varying the signal-to-interference-plus-noise-ratio (SINR) as a function of the emitter-target geometry is discussed. The analysis in this dissertation will evaluate the SINR by calculating the interference power for each emitter, and by conducting a set of experiments using the passive radar system in OSU-ESL to evaluate the direct signal interference (DSI) suppression rate using least-squares time domain adaptive filtering technique. An experimental validation using the passive radar testbed at OSU-ESL is provided to demonstrate the effect of the measurement accuracy on the target tracking performance.
Robert Burkholder (Advisor)
Joel Johnson (Committee Member)
Asimina Kiourti (Committee Member)
Rachel Bowen (Committee Member)
141 p.
Electrical Engineering
radar, passive radar, signal processing, measurement accuracy

Recommended Citations

Citations

  • Alslaimy, M. A. (2020). Measurement Accuracy Evaluation for Passive Radar Systems [Doctoral dissertation, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1594586891570641

    APA Style (7th edition)

  • Alslaimy, Moayad. Measurement Accuracy Evaluation for Passive Radar Systems. 2020. Ohio State University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1594586891570641.

    MLA Style (8th edition)

  • Alslaimy, Moayad. "Measurement Accuracy Evaluation for Passive Radar Systems." Doctoral dissertation, Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1594586891570641

    Chicago Manual of Style (17th edition)

osu1594586891570641
276
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This open access ETD is published by The Ohio State University and OhioLINK.