中文摘要：

该文结合干涉测量理论与简化矢量传感器多输入多输出（MIMO）雷达，提出一种干涉式矢量传感器MIMO雷达的发射方位角（DOD）、接收方位角（DOA）和极化联合估计方法。利用干涉发射阵列的长、短基线空间平移不变性采用多分辨ESPRIT算法获取DOD高精度估计值；同理，利用矢量接收阵的多分辨特性得到高精度DOA估计值；利用与阵列结构无关的极化域旋转不变性求取极化辅角和极化相位差。最后给出随机信号源模型下的闭式克拉美罗界推导。该干涉矢量MIMO阵列，可同时获取MIMO雷达的波形分集和矢量传感器的极化分集，且在不增加阵元数和硬件复杂度情况下大大扩展有效孔径，提高了角度估计精度。另外简化矢量传感器减少了传统矢量传感器的互耦效应更有利于工程实现。仿真结果证明了该文多参量估计算法的有效性。

英文摘要：

Combination of the interferometric theory and MIMO radar with simplified vector sensors, a novel algorithm for joint Direction Of Departure （DOD）, Direction Of Arrival （DOA） and polarization estimation in the interferometric MIMO radar with vector sensors is proposed. A short baseline and long baseline of the transmitting array are utilized to obtain high accuracy DOD estimation via the multiresolution ESPRIT. Similarly, the high accuracy DOA estimation can be obtained by utilizing the simplified vector sensor receive array. The polarization rotational invariant, which is irrespective of array geometry, is utilized to estimate the auxiliary polarization angle and polarization phase difference. Finally, the closed-form Cramer-Rao bound under the stochastic signal model is derived. The proposed system can obtain the waveform diversity offered by MIMO radar and the polarization diversity offered by vector sensor simultaneously. And it is capable of extending array aperture without increasing sensors and hardware costs, which can improve the angle estimation accuracy greatly. Moreover, the mutual coupling is decreased via using simplified vector sensor instead of traditional vector sensor, which makes the proposed system easier to implement. Simulation results verify the effectiveness of the proposed algorithm for multiple parameters estimation.