基于MUSIC算法的L型阵列MIMO雷达降维DOA估计

该文提出一种基于MUSIC算法的L型阵列多输入多输出雷达降维波达方向(DOA)估计算法。该算法首先针对L型阵列导向矢量的结构，构造出一个降维矩阵，将回波信号转换到低维空间。然后利用二次优化方法将2维DOA估计分解为两个1维DOA估计。最后利用MUSIC空间谱估计其中1维角度，并利用求得的角度回代谱函数，对另1维角度进行求根估计。该算法将2维空间谱搜索降为1维搜索，极大地降低了运算复杂度。理论分析和仿真结果验证了该算法的准确性和可行性。

Reduced-dimensional DOA Estimation Based on MUSIC Algorithm in MIMO Radar with L-shaped Array

A reduced-dimensional Direction Of Arrival (DOA) estimation method in monostatic MIMO radar with L-shaped array based on MUSIC algorithm is proposed. Firstly, considering of the steering vector of L-shaped array, a reduced-dimensional matrix is employed to transform the data matrix into a low dimensional space. Then the quadratic optimization algorithm is utilized to decompose two-dimensional (2-D) DOA estimation into two one-dimensional (1-D) DOA estimation. Finally, one of the two angles is estimated by MUSIC spatial spectrum, then the other angle is estimated by Root-MUSIC method with the spatial spectrum function. The proposed method which only requires 1-D search, can greatly avoid the high computational cost within 2-D MUSIC algorithm. Simulation results verify its correctness and feasibility.