DOA Estimation of Quasi-Stationary Signals in Uniform Linear Arrays With Mutual Coupling

被引：0
|
作者：
Chu, Ping [1 ]
Zhang, Jinfeng [1 ]
Liao, Bin [1 ]
机构：
[1] Shenzhen Univ, Coll Elect & Informat Engn, Shenzhen 518060, Peoples R China
来源：
2020 IEEE 11TH SENSOR ARRAY AND MULTICHANNEL SIGNAL PROCESSING WORKSHOP (SAM) | 2020年
基金：
中国国家自然科学基金;
关键词：
Direction-of-arrival (DOA) estimation; quasi-stationary signals (QSS); second-order statistics; ARRIVAL;
D O I：
10.1109/sam48682.2020.9104373
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 paper, the problem of direction-of-arrival (DOA) estimation of quasi-stationary signals (QSS) in uniform linear arrays (ULAs) with unknown mutual coupling is considered. By taking advantage of the quasi-stationarity of signals and the special structure of mutual coupling matrix (MCM) of ULAs, a computational efficient algorithm is devised to determine the DOAs. Different from the existing approaches for DOA estimation with unknown mutual coupling, the proposed method can simultaneously enjoy various superiorities including: 1) it is computationally efficient without the need of spectral search, 2) it can resolve more sources, and 3) it is robust against unknown noise. Simulations are conducted to demonstrate the effectiveness and superiority of the proposed DOA estimator.
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页数：4
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