基于多级维纳滤波的双基地MIMO雷达多目标定位方法

 为了降低双基地多输入多输出(MIMO)雷达目标定位过程中的计算复杂度,避免进行占主要计算量的协方差矩阵特征值分解或奇异值分解和二维空间谱的峰值搜索,将多级维纳滤波(MSWF)应用于双基地MIMO雷达多目标定位的研究中。利用MSWF的前向递推原理,得到信号子空间;然后利用ESPRIT算法估计发射角(DOD)和接收角(DOA),且DOD和DOA自动配对,实现了多目标交叉定位。分析了本文算法和ESPRIT算法的计算复杂度,并通过仿真实验及性能分析验证本文算法的有效性。理论分析和实验结果表明:本文算法在保证二维方位角估计性能的基础上,显著地降低了计算复杂度,缩短了运算时间,更加符合MIMO雷达信号实时处理的要求。

Multi-target Localization Based on Multi-stage Wiener Filter for Bistatic MIMO Radar

In order to reduce the computational complexity of target localization in bistatic multiple-input multiple-output(MIMO) radar,and avoid the singular value decomposition of the covariance matrix of the received signals and two-dimensional spectrum peak searching which are the main computational burden,the multi-stage Wiener filter(MSWF) is applied to target localization for bistatic MIMO radar.The signal subspace can be achieved by the forward recursive of MSWF,and the direction of departure(DOD) and direction of arrival(DOA) can be estimated by ESPRIT algorithm.The DOD and DOA are automatically matched,and the multi-target cross localization is achieved.The computational complexity of the proposed algorithm and ESPRIT algorithm are analyzed,and the simulation results and performance analysis verify the effectiveness of the proposed method.Theoretical analysis and simulation results demonstrate that the proposed method is computationally advantageous with the maintenance of good performance for angle estimation,and more suitable for real-time signal processing in MIMO radar.