互耦条件下双基地MIMO雷达的收发角度估计

阵元互耦的存在会使双基地MIMO雷达多目标定位算法的性能恶化．利用发射和接收互耦矩阵的带状、对称Toeplitz性质，提出了一种基于ESPRIT的双基地MIMO雷达收发角度算法，并针对现有参数配对算法中存在参量兼并的问题，给出了一种改进的自动配对算法．仿真结果表明：在存有相同发射角／接收角时，本文算法仍能有效实现多目标定位，无需进行谱峰搜索和额外的目标配对；本文算法对互耦系数自由度和扰动误差的稳健性优于MUSIC-like算法，并且具有更高的估计精度．此外，还推导了确定信号模型下收发角和互耦系数的CRB（Cramer—Raobound）．

Joint DOD and DOA estimation for bistatic MIMO radar in the presence of mutual coupling

The presence of mutual coupling between elements is known to significantly degrade the performance of the multi-target localization algorithm for a bistatic multiple input multiple output （MIMO） radar system. Byusing the banded symmetric Toeplitz matrices for the transmit and receive arrays, we propose an ESPRIT-based algorithm to estimate the Direction Of Departure （DOD） and Direction Of Arrival （DOA） for a bistatic MIMO radar system in the presence of unknown mutual coupling. An improved automatic pairing is presented to avoid the invalidation of the existing pairing method when identical DOD/DOA exist in one dimension. Simulation results show that the proposed method can localize the multi-target efficiently in the presence of identical DOD/DOA in one dimension without the spectrum search and extra pairing. Compared with the MUSIC-like algorithm, the proposed method is more robust in dealing with a number of mutual coupling coefficients, and the perturbation matrix errors. The estimation accuracy of the proposed method is better than that of the MUSIC-like algorithm.