Robust DOA Estimation Against Mutual Coupling With Nested Array

被引：23
|
作者：
Zheng, Zhi [1 ]
Yang, Chaolin [1 ]
Wang, Wen-Qin [1 ]
So, Hing Cheung [2 ]
机构：
[1] Univ Elect Sci & Technol China, Sch Informat & Commun Engn, Chengdu 611731, Peoples R China
[2] City Univ Hong Kong, Dept Elect Engn, Kowloon Tong, Hong Kong, Peoples R China
来源：
IEEE SIGNAL PROCESSING LETTERS | 2020年 / 27卷
基金：
中国国家自然科学基金;
关键词：
Mutual coupling; Direction-of-arrival estimation; Estimation; Covariance matrices; Sensor arrays; Manifolds; DOA estimation; nested array; mutual coupling; mutual coupling matrix (MCM); joint sparse recovery; OF-ARRIVAL ESTIMATION; UNIFORM LINEAR ARRAYS; ALGORITHM; COMPENSATION; SIGNALS;
D O I：
10.1109/LSP.2020.3011314
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this letter, we focus on the problem of direction-of-arrival (DOA) estimation with a nested array in the presence of unknown mutual coupling. Firstly, the measurement model of the nested array with mutual coupling is established, and the properties of the corresponding array covariance matrix are derived. Based on the obtained properties, the coarray output signal is then reconstructed with reduced mutual coupling. Finally, joint sparse recovery technique is employed to extract the DOAs. Our algorithm can achieve underdetermined DOA estimation with satisfactory performance under unknown mutual coupling. Numerical results demonstrate the effectiveness of the proposed algorithm.
引用
收藏
页码：1360 / 1364
页数：5
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