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论文类型： 期刊论文

发表时间： 2020-07-01

发表刊物： IEEE COMMUNICATIONS LETTERS

收录刊物： SCIE

卷号： 24

期号： 7

页面范围： 1455-1458

ISSN号： 1089-7798

关键字： Direction-of-arrival estimation; Mutual coupling; Estimation; Sparse matrices; Sensor arrays; Cost function; DOA estimation; impulsive noise; mutual coupling; sparse representation; Cauchy-score function

摘要： A variety of approaches have been exploited for DOA estimation with unknown mutual coupling in recent years. However, they usually suffer performance degradation under impulsive noise. To overcome this problem, an improved method for DOA estimation in the presence of unknown mutual coupling is proposed. Firstly, a sparse representation of the received signals is created by the aid of the structure of mutual coupling matrix (MCM). Subsequently, a Cauchy-score based cost function is utilized to reconstruct the sparse model and realize DOA estimation. Numerous experiments are carried out to evaluate the algorithms and simulation results confirm that our method shows superior performance than existing methods.