A direction of arrival estimation algorithm for low signal to noise ratio
Cheng Zhang · Shengxue jishu · 2010
Direction of Arrival(DOA) estimation technology is a very active research subject,which impels many ap-plicable DOA estimation algorithms.In general,traditional approaches to DOA estimation and modern space spectrum estimation algorithms can be only effectively used under high Signal to Noise Ratio(SNR) condition,the performances of such DOA estimation algorithms will be deteriorated very fast if SNR is low.In this paper,a new correlation matrix reconstruction method is proposed based on the fact that signal is strong correlation in time but weak for noise,this method can improve the SNR of correlation matrix.Minimum Variance Distortionless Response(MVDR) based on new correlation matrix reconstruction is proposed to enhance the performances of DOA estimation under low SNR condi-tion.Computer simulations and DOA estimation experiments show the effectiveness of the new method.