一种快速波达方向估计算法

Fast DOA estimation algorithm based on the multistage Wiener filter

提出了一种基于多级维纳滤波的波达方向估计算法.利用均匀等距阵列的互相关向量处于信号子空间内的特点,采用多级维纳滤波得到了一种不需要期望信号和特征分解的信号子空间估计方法,然后采用最小范数求根方法得到波达方向的快速估计.该方法在没有期望信号的环境下能够快速有效估计波达方向,其计算复杂度为O(NLP),这里N为阵元数,L为样本数,P为信源数.最后通过仿真实验验证了该方法的有效性.

A fast algorithm for direction-of-arrival（DOA） estimation is presented.By the characteristic that the mutual correlation vector of a uniform array is located in the signal subspace,a signal subspace estimation method is obtained using a multi-stage wiener filter,which avoids the known expected signal and eigen-decomposition.Then,the min-norm rooting method is adopted to realize DOA estimation.The method can estimate DOA effectively even in the case of no expected signal,and the complexity is O（NLP）,where N is the number of sensors,L is the number of training sets,and P is the number of signals.Finally,simulation results are given to demonstrate the effectiveness of the method.