Fast DOA estimation algorithm with sparse representation based on pre-estimation
Zhang Xing-lian · Jisuanji yingyong yanjiu · 2014
Though the DOA estimation with sparse representation has high resolution,its computational load is too much. To settle this problem,this paper proposed a fast DOA estimation algorithm with sparse representation based on pre-estimation.First,with the feature of eigenvector of covariance matrix,it preliminary estimated the DOAs of incident signal by DFT. Then,using the result of pre-estimation,it reduced the length of the over-complete dictionary. Finally,it exactly estimated the DOAs by performing sparse decomposition. The computational load of the proposed algorithm is very small for the short dictionary length. The results of simulation experiments show that the proposed algorithm has high probability of success,fast estimation speed,and low estimation error. Therefore,there is much application prospect of the proposed algorithm in engineering practice.