Localization of mixed far-field and near-field sources under unknown mutual coupling

被引：35
作者：
Xie, Jian [1 ]
Tao, Haihong [1 ]
Rao, Xuan [1 ,2 ]
Su, Jia [1 ]
机构：
[1] Xidian Univ, Natl Lab Radar Signal Proc, Xian 710071, Peoples R China
[2] Nanchang Hangkong Univ, Sch Informat Engn, Nanchang 330063, Peoples R China
来源：
DIGITAL SIGNAL PROCESSING | 2016年 / 50卷
关键词：
DOA estimation; Mutual coupling; Near-field localization; Range estimation; Rank reduction; COVARIANCE APPROXIMATION METHOD; UNIFORM CIRCULAR ARRAYS; OF-ARRIVAL ESTIMATION; DOA ESTIMATION; PASSIVE LOCALIZATION; SIGNAL PARAMETERS; ALGORITHM; CALIBRATION; ESPRIT;
D O I：
10.1016/j.dsp.2015.10.012
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, a novel localization algorithm for mixed far-field and near-field sources is proposed in the presence of unknown mutual coupling. Based on the principle of rank reduction, direction-of-arrival (DOA) estimates of far-field sources are firstly decoupled under unknown mutual coupling. Then these estimates are employed to generate the mutual coupling coefficients. Finally, by the mutual coupling compensation and the far-field components elimination, near-field sources parameters (DOA and range) are obtained. The proposed algorithm is efficient in that it only requires second order statistics and one dimensional spectral search. Simulation results demonstrate that our algorithm is effective for the classification and localization of mixed sources under unknown mutual coupling. (C) 2015 Elsevier Inc. All rights reserved.
引用
收藏
页码：229 / 239
页数：11
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