一种新的双基地MIMO雷达快速多目标定位算法

摘要

To solve the problem of target localization in bistatic MIMO radar, a new method based on third-order tensor decomposition is proposed for fast multi-target localization. First, the matched filter output is transformed to a third-order tensor and its dimension is reduced. Then, the transmit and receive steering matrices and Doppler matrix are estimated through Alternate Least Square (ALS) method. Finally, the target Direction Of Departure (DOD), Direction Of Arrival (DOA) and Doppler frequency can be regressed by spectrum estimation algorithms. The Line Search (LS) scheme is used to speed up the convergence of ALS. Compared with the existing approaches, the proposed method avoids two-Dimensional (2-D) spectrum peak searching and covariance matrix estimating, and the target DOD, DOA and Doppler frequency are automatically paired. The estimation performance is improved; meanwhile, the computational cost and storage are effectively reduced. The effectiveness and superiority of the proposed method is demonstrated by simulation results.%针对双基地MIMO雷达目标定位问题,该文提出一种基于三阶张量分解的快速多目标定位算法.该算法首先将匹配滤波输出转化为三阶张量,并对其进行降维预处理,然后利用交替最小二乘(ALS)算法估计收发阵列流型矩阵和多普勒矩阵,最后通过谱估计算法恢复目标收发角和多普勒频率.同时利用线性搜索加快ALS算法的收敛速度.与现有算法相比,该算法避免了2维谱峰搜索和协方差矩阵估计,得到的目标三参数自动配对,不仅提高了估计性能,而且有效降低了运算量和存储量.仿真结果证明了所提算法的有效性和优越性.