A Recursive RARE Algorithm for DOA Estimation With Unknown Mutual Coupling

被引：61

作者：

Dai, Jisheng ^{[1
,2
]}

Bao, Xu ^{[3
]}

Hu, Nan ^{[4
]}

Chang, Chunqi ^{[4
]}

Xu, Weichao ^{[5
]}

机构：

[1] Jiangsu Univ, Sch Elect & Informat Engn, Zhenjiang 212013, Peoples R China

[2] Southeast Univ, Natl Mobile Commun Res Lab, Nanjing 210096, Jiangsu, Peoples R China

[3] Jiangsu Univ, Dept Telecommun Engn, Zhenjiang 212013, Peoples R China

[4] Soochow Univ, Sch Elect & Informat Engn, Suzhou 215006, Peoples R China

[5] Guangdong Univ Technol, Dept Automat Control, Guangzhou 510006, Guangdong, Peoples R China

来源：

IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS | 2014年 / 13卷

基金：

中国国家自然科学基金;

关键词：

Direction-of-arrival (DOA); mutual coupling; rank-reduction (RARE); uniform circular array (UCA); uniform linear array (ULA); UNIFORM CIRCULAR ARRAYS; BLIND CALIBRATION; MUSIC;

D O I：

10.1109/LAWP.2014.2347056

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：

The effect of mutual coupling between array elements is known to substantially degrade direction-of-arrival (DOA) estimation performance. Rank-reduction (RARE) methods can eliminate the mutual coupling effect without loss of array aperture. However, they might yield serious ambiguous DOA estimates in some scenarios. This letter proposes a modified RARE algorithm for DOA estimation, which overcomes the problem of ambiguous estimation by recursively building up RARE matrices. Moreover, due to the utilization of an additional unique structure of mutual coupling coefficients, the new method can give a better DOA estimation performance. Simulation results verify the efficiency of the proposed method.

引用

页码：1593 / 1596

页数：4

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