基于联合矩阵对角化的双基地MIMO雷达DOD-DOA估计

DOD-DOA Estimation Using Joint Matrix Diagonalization in Bistatic MIMO Radar

针对双基地MIMO雷达收发角(DOD-DOA)估计问题,该文提出一种基于联合矩阵对角化的快速多目标收发角估计算法。该算法首先根据匹配滤波输出的数据结构,利用奇异值分解和秩1矩阵判断定理将收发角度估计问题转化为联合矩阵对角化问题,然后采用单次-扫描迭代算法对其求解,得到收发阵列流型矩阵,最后通过谱分析方法估计收发角。该算法充分利用匹配滤波输出的所有信息,无需2维谱峰搜索,每次迭代均可得到精确的闭式解,且收发角自动配对。与现有算法相比,该算法不仅提高了角度估计精度,而且有效降低了运算量。仿真结果证明了所提算法的有效性。

To solve the problem of Direction Of Departure-Direction Of Arrival（DOD-DOA） estimation in bistatic MIMO radar,a fast method based on joint matrix diagonalization is proposed.First,according to the structure of matched filter output,DOD-DOA estimation is transformed to joint matrix diagonalization problem using Singular Value Decomposition（SVD） and the theorem of rank-1 matrix determined.Then,the Single-Sweep Iterative（SSI） algorithm is used to solve it,and the transmit/receive steering matrices are obtained.Finally,the DOD-DOA can be estimated by spectrum analysis method.The proposed method utilizes all the information of matched filter output,avoiding two-dimensional spectrum peak searching,and possesses an accurate closed form solution at each iteration.The DOD and DOA are automatically paired.Compared with the existence approaches, the proposed algorithm gives better angle estimation accuracy,and the computational cost is effectively reduced. The effectiveness of the proposed method is demonstrated by simulation results.