Efficient DOA Estimation Algorithm for Noncircular Sources Under Unknown Mutual Coupling

被引：7

作者：

Xie, Jian ^{[1
,2
,3
]}

Wang, Ling ^{[1
]}

Su, Jia ^{[1
]}

机构：

[1] Northwestern Polytech Univ, Sch Elect & Informat, Xian 710072, Peoples R China

[2] Northwestern Polytech Univ Shenzhen, Res & Dev Inst, Shenzhen 518057, Peoples R China

[3] Shaanxi Lingyun Elect Grp Co Ltd, Baoji 721006, Peoples R China

来源：

IEEE SENSORS LETTERS | 2018年 / 2卷 / 03期

基金：

中国博士后科学基金; 中国国家自然科学基金;

关键词：

Sensors signal processing; direction-of-arrival (DOA) estimation; mutual coupling; noncircular sources; sensor array signal processing;

D O I：

10.1109/LSENS.2018.2862911

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：

Mutual coupling effects may seriously degrade the direction-of-arrival (DOA) estimation performance in practical sensor arrays. In this article, a computationally efficient DOA estimation algorithm is proposed for noncircular sources in the presence of mutual coupling. Utilizing the noncircularity of the sources, we first construct an extended covariance matrix. Then, based on the banded symmetric Toeplitz structure of the mutual coupling matrix, the extended covariance matrix is divided into two submatrices. By simultaneous singular-value decomposition (SVD) of the two submatrices, the DOA parameter is obtained in a closed form. The proposed algorithm can improve the DOA estimation performance. Moreover, it is computationally efficient since it does not require any spectral search and avoids high-order statistics. Simulation results demonstrate both the efficiency and the effectiveness of our proposed algorithm under unknown mutual coupling.

引用

页数：4

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