扩展孔径的电磁矢量多入多出雷达目标定位算法

提出了一种基于双基地电磁矢量多输入多输出雷达的二维收发角估计算法.针对扩展孔径条件下传统算法的周期性角度模糊问题，提出了一种从极化信息矩阵中求取收发信号波印廷矢量来实现解模糊的算法.极化信息矩阵可通过张量分解从回波数据中求取.为提高发射角估计精度，给出了一种更严格的正交约束条件：不仅要求不同阵元间发射的信号相互正交，还要求同一阵元内所有的偶极子天线发射的信号也相互正交.进而可从极化信息矩阵中得到发射角的不模糊估计.与传统算法相比，该算法通过增大阵元间距提高角度估计性能，且不会产生角度模糊，避免了谱峰搜索和额外的配对过程.仿真实验验证了算法有效性.

Target localization for aperture extending MIMO radar with electromagnetic vector antenna

The estimation of the 2D-direction of departure（2D-DOD）and 2D-direction of arrival（2D-DOA）for MIMO radar system is investigated. A novel algorithm is proposed to unwrap the cyclically ambiguous of the angles estimated by conventional algorithm when aperture extended.The key step is to estimate the poynting vector of signal from the polarization information matrix，which is obtained by CANDECOMP/PARAFAC decomposition.In order to improve the accuracy of DOD，a stricter orthogonal constraint is proposed that the signals of spatial separated elements should be suit to the orthogonal constraint.Furthermore，every antenna in a same geometry center transmits narrow orthogonal signals simultaneously.Thus，the unambiguous estimation of DOD could be obtained from the polarization information matrix.The proposed algorithm offers a better performance through aperture extension without angle ambiguous.It requires neither peak searching nor pairing processes，and simulation results are presented to verify the effectiveness of the proposed algorithm.