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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.

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