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Target Localization in MIMO Radars Using Stationary Moving Transmitters
and Receivers

Kazemi, Amir Reza | 2019

484 Viewed
  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 52355 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Behnia, Fereidoon
  7. Abstract:
  8. Research on target localization in multiple-input multiple-output (MIMO) radars, has seen significant growth in recent years. In general, localization methods in these radars can be classified as direct and indirect methods. In the former, the cinematic specifications of target is directly extracted from the received signals, whereas in the indirect methods, different measurements are calculated from the received signals and then, the target position is estimated using the acquired measurements. In this thesis, by concentrating on indirect target localization methods and by taking practical problems, such as uncertainties in sensors position and velocity, asynchronous sensor clocks and multi-target scenario, into consideration, we propose efficient localization methods. In the beginning of this study, by using the combination of time delay and angle of arrival measurements, we develop a semi closed-form method for locating a target. This method is based on approximating the localization task with a convex optimization problem, the global solution of which can be determined by polynomial root-finding. Then, a closed-form solution for moving target localization is presented which employs a quadruple hybrid measurement set including time delay, doppler shift, angle of arrival and angel rate measurements, and a weighted least squares (WLS) estimator for estimating the target position and velocity vectors simultaneously. Furthermore, the uncertainties in position and velocity of the antennas are also taken into account. Next, we focus on the localization problem in the presence of antenna position uncertainties and clock parameter imperfections. Using time delay measurements, we propose a closed-form solution for the aforementioned problem. Utilizing different numerical simulations, the performance of the proposed localization methods are analyzed and
    it is demonstrated that performance-wise, the proposed methods surpass the state-of-theart methods. Finally, the difficult task of multi-target localization is addressed. By solving the data-to-target association and localization problems simultaneously, the corresponding multi-target localization problem is broken down into various single-target localization
    problems whose final solutions can be readily obtained using well-known time delay based localization methods. Numerical simulations are employed to evaluate the performance of the proposed method in different scenarios
  9. Keywords:
  10. Multiple Input Multiple Output (MIMO)System ; Target Localization ; Cramer-Rao Bound ; Closed-Form Localization Methods ; Weighted Least Squaures Estimation

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