Fast DOA estimation algorithm based on the multistage Wiener filter
Suo Zhi-yong · Journal of Xidian University · 2009
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.