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Joint Polarization and Angle Estimation for Robust Multi-Target Localization in Bistatic MIMO Radar

机译:双基地MIMO雷达中稳健的多目标定位的联合极化和角度估计

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In the paper, we propose a novel algorithm usingjoint polarization and angle information for robust andhigh-resolution multi-target localization in bistatic multipleinputmultiple-output (MIMO) radar system. The proposedalgorithm exploits the singular value decomposition (SVD)of cross-correlation matrix of the received data from twotransmitter subarrays to obtain robust performance in noise.Polarization sensitive array-based ESPRIT technologies areemployed to estimate the direction of departure (DOD), thedirection 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 bypolarization diversity. Also, the DODs, DOAs, andpolarizations of multiple targets can be well paired. Thesimulation results demonstrate that the proposed algorithmcan work well and achieve high-resolution identification androbust localization of multiple targets.
机译:在本文中,我们提出了一种使用联合极化和角度信息的新颖算法,用于双基地多输入多输出(MIMO)雷达系统中的鲁棒且高分辨率的多目标定位。该算法利用两个发射机子阵列接收到的数据的互相关矩阵的奇异值分解(SVD)来获得鲁棒的噪声性能。采用基于极化敏感阵列的ESPRIT技术来估计离去方向(DOD),到达方向(DOA)和极化参数。给出了Cramer-Rao界(CRB)。在该方法中,可以通过极化分集很好地区分出间隔较近的目标。而且,多个目标的DOD,DOA和极化可以很好地配对。仿真结果表明,该算法能够很好地实现高分辨率识别和对多个目标的鲁棒定位。

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