双基地MIMO雷达目标定位及互耦自校正算法

利用均匀线阵互耦矩阵的带状和对称Toeplitz特性,提出了一种基于旋转不变技术估计目标参数(ESPRIT)的双基地多输入多输出(MIMO)雷达目标定位及互耦自校正算法.该算法通过ESPRIT算法中子阵的选取,将目标二维方位角估计与互耦参数估计相"去耦",角度估计过程不需任何互耦矩阵信息,且估计精度高、分辨力强;基于对目标二维方位角的估计,算法还可以精确地估计出互耦矩阵,从而实现双基地MIMO雷达的互耦自校正.该算法对目标二维方位角与互耦矩阵的估计不涉及任何角度搜索和迭代过程,具有较小的运算量.计算机仿真结果证明了该算法的正确性和可行性。

Fast target localization and the mutual coupling self-calibration algorithm for bistatic MIMO radar

By exploiting the banded symmetric and Toeplitz matrix model for the mutual coupling of uniformly linear array(ULA),an ESPRIT-based target localization and mutual coupling self-calibration algorithm is proposed for bistatic MIMO radar.The 2-dimensional(2-D) angles and mutual coupling parameters can be decoupled by smart choosing of subarrays for the ESPRIT method,and favorable 2-D angle estimation can be provided without the knowledge of the sensor mutual coupling matrix.Based on the estimated 2-D angles,an accurate estimation of the mutual coupling matrix can also be achieved for the self-calibration of bistatic MIMO radar.The 2-D angles estimation and mutual coupling estimation could be completed without any angle-searching and iterative procedure,so its computational burden is low.The correction and efficiency of the proposed algorithm are verified by the computer simulation results.