A Sparse Representation Method for DOA Estimation With Unknown Mutual Coupling

Abstract

Sparse representation methods for direction-of-arrival (DOA) estimation have been applied to many situations, which include limited number of collected snapshots and highly correlated sources. However, they suffer from a lack of provision for mutual coupling effect. This letter describes a modified sparse representation method in the presence of unknown mutual coupling. The new method takes advantage of the special structure of the mutual coupling matrix (MCM) for uniform linear arrays (ULAs) so as to eliminate the mutual coupling effect completely. Simulation results verify the efficiency of the proposed method.