NONCIRCULARITY-BASED LOCALIZATION FOR MIXED NEAR-FIELD AND FAR-FIELD SOURCES WITH UNKNOWN MUTUAL COUPLING

被引：0
作者：
Chen, Hua [1 ]
Liu, Wei [2 ]
Zhu, Wei-Ping [3 ]
Swamy, M. N. S. [3 ]
机构：
[1] Ningbo Univ, Fac Informat Sci & Engn, Ningbo 315211, Zhejiang, Peoples R China
[2] Univ Sheffield, Dept Elect & Elect Engn, Sheffield S1 3JD, S Yorkshire, England
[3] Concordia Univ, Dept Elect & Comp Engn, Montreal, PQ, Canada
来源：
2018 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP) | 2018年
基金：
中国国家自然科学基金;
关键词：
DOA estimation; near-field; far-field; noncircular signals; mutual coupling; ESPRIT-TYPE ALGORITHMS; PERFORMANCE ANALYSIS; MUSIC ALGORITHM;
D O I：
暂无
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
In this paper, a novel noncircularity-based localization method for mixed near-field (NF) and far-field (FF) sources is proposed with a symmetric uniform linear array (ULA) in the presence of unknown mutual coupling (UMC). Based on the principle of rank reduction (RARE), the multiple parameters of the sources including direction of arrival (DOA), range and mutual coupling coefficient (MCC) are decoupled, so that only several one-dimensional (1-D) spectral searches are required for their estimation. Meanwhile, the proposed method can also distinguish the types of sources without any extra processing. Simulation results are provided to demonstrate the effectiveness of the proposed method for the classification and localization of mixed sources under UMC.
引用
收藏
页码：3236 / 3240
页数：5
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