Direction-of-arrival estimation based on modified Bayesian compressive sensing method

In this paper, the narrowband DOA estimation problem is studied in compressive sensing (CS) perspective. A novel DOA estimation approach based on extended Bayesian compressive sensing (BCS) is presented. To avoid the matrix singular drawback in BCS, a basis pruning procedure through iterative hard thresholding is utilized. The proposed method is hyper-parameter free and needs not know the number of sources a prior. Simulation results demonstrate that the proposed scheme has high space resolution and can resolve highly correlated or coherent sources.