Off-grid DOA estimation for nested array using atomic norm minimisation

作     者：Jiang, Hong Tang, Wen-Gen Pang, Shuai-Xuan 

作者机构：Jilin Univ Coll Commun Engn Changchun 130012 Jilin Peoples R China 

出 版 物：《ELECTRONICS LETTERS》 (Electron. Lett.)

年 卷 期：2018年第54卷第23期

页      面：1344-1345页

核心收录：

学科分类：0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 

基　　金：National Natural Science Foundation of China [61371158, 61771217] Jilin Provincial Natural Science Foundation of China [20180101329JC] 

主　　题：direction-of-arrival estimation compressed sensing minimisation nested array atomic norm minimisation degrees of freedom traditional uniform linear array off-grid compressed sensing method direction-of-arrival grid-mismatch effect conventional CS algorithms off-grid DOA estimation orthogonal matching pursuit subspace methods 

摘      要：Nested array (NA) has received much attention for providing more degrees of freedom compared with the traditional uniform linear array. An off-grid compressed sensing (CS) method is proposed using atomic norm minimisation for NA to identify the unknown direction-of-arrival of multiple sources, which overcomes the drawback of grid-mismatch effect of the conventional CS algorithms such as orthogonal matching pursuit, and achieves better performance than the subspace methods. Simulation results verify the effectiveness of the proposed method.