Mixed rectilinear sources localization under unknown mutual coupling

被引：24
作者：
Chen, Hua [1 ]
Liu, Wei [2 ]
Zhu, Wei-Ping [3 ]
Swamy, M. N. S. [3 ]
Wang, Qing [4 ]
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 H3G 1M8, Canada
[4] Tianjin Univ, Sch Elect Informat Engn, Tianjin 300072, Peoples R China
来源：
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS | 2019年 / 356卷 / 04期
基金：
中国国家自然科学基金;
关键词：
OF-ARRIVAL ESTIMATION; FIELD SOURCE LOCALIZATION; NEAR-FIELD; FAR-FIELD; DOA ESTIMATION; NONCIRCULAR SOURCES; PASSIVE LOCALIZATION; COPRIME ARRAY; DIRECTION; SIGNALS;
D O I：
10.1016/j.jfranklin.2019.01.019
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, a novel rectilinearity-based localization method for mixed near-field (NF) and far-field (FF) sources is proposed under unknown mutual coupling. The multiple parameters including direction of arrival (DOA), range and mutual coupling coefficient (MCC) are decoupled, thus only three one-dimensional (1-D) spectral searches are required to estimate the parameters of mixed rectilinear signals successively. Furthermore, the closed-form deterministic Cramer-Rao bound (CRB) of the concerned problem is also derived. Simulation results are provided to demonstrate the effectiveness of the proposed method for the classification and localization of mixed rectilinear sources. (C) 2019 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码：2372 / 2394
页数：23
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