一种估计相干信号波达方向的快速算法

Fast Estimation Algorithm for the DOA of Coherent Signals

多级维纳滤波器是一种降维算法,提出了一种基于多级维纳滤波器的相干信源估计算法。将多级维纳滤波器引入ESPRIT算法的预处理,通过构造Toeplitz矩阵,满足秩等于信号个数的条件,作为维纳滤波器的预处理的结构。文章提出的算法,不通过特征值分解,得到信号子空间,结合ESPRIT算法,实现相干信号的DOA估计。仿真结果证明了算法的有效性。

Multistage wiener filtering （MSWF） is a reduced-rand algorithm, based on which a new algorithm is proposed for the direction of arrival （DOA） estimation of coherent signals. The pretreat- ment filter is brought up. The suitable configuration of multi-stage Wiener filter can be used in the ESPRIT algorithm. A Toeplitz matrix is also reconstructed to make the rank equal to the number of signals, and is taken as the pretreatment of the MSWF. Then the single subspace can be acquired not through the matrix eigenvalue decomposition in this method. The DOA of coherent signals can be estimated combining with the subspace kind algorithms such as ESPRIT. Simulation results verify that the proposed algorithm is effective.