基于Unitary ESPRIT的双基地MIMO雷达目标定位算法

针对双基地MIMO雷达目标定位问题,提出一种基于Unitary ESPRIT的双基地MIMO雷达目标定位算法.该算法利用MIMO雷达发射阵列和接收阵列的相位延迟特性对接收数据矩阵进行重构,使协方差矩阵为Centro-Hermitian矩阵,然后通过酉变换将协方差矩阵从复数域变换为实数域,最后利用Unitary ESPRIT算法实现目标的DOD和DOA估计,且DOD和DOA自动配对.与传统的ESPRIT算法相比,该方法有效地增加接收数据信息,提高了目标角度估计性能,且所有的特征值分解及矩阵计算均在实数域进行,大大降低了运算复杂度.仿真结果验证了该算法的有效性.

Target localization for MIMO radar based on Unitary ESPRIT

Aiming at solving the problem of target localization in multiple-input multiple-output(MIMO) radar,a new algorithm based on Unitary ESPRIT was presented.In this approach,the received signal data can be reconstructed based on the property of the phase delay in both the transmitter array and receiver array,and the covariance matrix of constructed signal data is a centro Hermitian matrix.Then the complex-value covariance matrix can be turned into a real-value field by Unitary transformation.The DOD and DOA can be estimated by Unitary ESPRIT and the estimated parameters are automatically paired without additional paring computation.Compared with conventional ESPRIT,the proposed algorithm enhances the information of received signal data and the angle estimation performance is improved.Furthermore,all eigen-value decomposition(EVD) and matrix calculation are in a real-valued field.Thus,the computational complexity is very low.Simulation results demonstrate the efficiency of the proposed method.