¹Military Simulation Technology Institute, Aviation University of Air Force, Changchun, China
²College of Communication Engineering, Jilin University, China
³Department of Electrical and Computer Engineering, Kansas State University, Manhattan, USA

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Abstract—In the paper, we propose a novel algorithm using joint polarization and angle information for robust and high-resolution multi-target localization in bistatic multipleinput multiple-output (MIMO) radar system. The proposed algorithm exploits the singular value decomposition (SVD) of cross-correlation matrix of the received data from two transmitter subarrays to obtain robust performance in noise. Polarization sensitive array-based ESPRIT technologies are employed to estimate the direction of departure (DOD), the direction of arrival (DOA) and the polarization parameters. The Cramer-Rao bounds (CRBs) are given. In the method, the closely spaced targets can be well distinguished by polarization diversity. Also, the DODs, DOAs, and polarizations of multiple targets can be well paired. The simulation results demonstrate that the proposed algorithm can work well and achieve high-resolution identification and robust localization of multiple targets.

Index Terms—MIMO radar, joint parameter estimation, polarization, singular value decomposition, Cramer-Rao bound

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Cite: Hong Jiang, Yu Zhang, Hong-Jun Liu, Xiao-Hui Zhao, and Chang Liu, "Joint Polarization and Angle Estimation for Robust Multi-Target Localization in Bistatic MIMO Radar," Journal of Software vol. 7, no. 12, pp. 2703-2709, 2012.