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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.