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Array-Based Localization in DTV Passive Radar

Huang, Huimin
http://orcid.org/0000-0002-7739-2626
http://rave.ohiolink.edu/etdc/view?acc_num=osu1544287264459043

Abstract Details

2019, Doctor of Philosophy, Ohio State University, Electrical and Computer Engineering.
This dissertation investigates the use of array-based localization to passively locate a target. Target localization in passive radar typically employs multilateration where a set of hyperbolic equations from range differences or elliptic equations from bistatic ranges are solved to determine the position of the target. To provide an unambiguous target location in three dimensions, there is another way, which is to use an efficient direction finder capable of providing a precise measurement of the target’s bearing. This direction finder can be implemented using an array of antenna elements and the intersection of ellipsoid and bearing vector gives the three-dimensional (3D) position of the target. The array-based localization method is developed by noting that the stable range resolutions afforded by digitally modulated signals, like digital television (DTV), and Doppler resolution from long integration times of passive radar can sufficiently resolve returns from multiple targets. The phase information from each array element from a resolved target can then be used with the Bartlett method of bearing estimation. Thus, target bearing can be estimated with far greater accuracy than the beamwidth resolution of the array alone. This was demonstrated in experiments conducted using a DTV-based passive radar with an electrically small array. The procedure of the in-field calibration of the array using opportunistic air targets is also elaborated. Expressions to calculate the location accuracies from the array-based localization method were derived and an analysis was performed on the location accuracy as a function of bistatic geometry. The developed theory was verified through simulation and experiments that made use of an aircraft, which traversed a wide range of bistatic geometries, and whose position was known. Finally, the performance of array-based localization was compared with that of multilateration. In multistatic radar, target location estimates from both multilateration and array-based localization would be available. Based on insights from the comparative analysis of both methods as a function of geometry, a method of selecting the best target location estimate was proposed that makes use of the Kalman filter for data fusion. This dissertation demonstrates that with the array-based localization method, DTV-based passive radar is able to locate and track a target in 3D Cartesian space using an electrically small array.
Graeme Smith (Advisor)
Emre Ertin (Committee Member)
Niru Nahar (Committee Member)
Gerald Kosicki (Committee Member)
239 p.
Electrical Engineering

Recommended Citations

Citations

  • Huang, H. (2019). Array-Based Localization in DTV Passive Radar [Doctoral dissertation, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1544287264459043

    APA Style (7th edition)

  • Huang, Huimin. Array-Based Localization in DTV Passive Radar. 2019. Ohio State University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1544287264459043.

    MLA Style (8th edition)

  • Huang, Huimin. "Array-Based Localization in DTV Passive Radar." Doctoral dissertation, Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1544287264459043

    Chicago Manual of Style (17th edition)

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