Direction-of-Arrival Estimation of Coherent Signals for Uniform Linear Antenna Arrays With Mutual Coupling in Unknown Nonuniform Noise

被引:24
作者
Fang, Yunfei [1 ]
Zhu, Shengqi [1 ]
Gao, Yongchan [2 ]
Lan, Lan [1 ]
Zeng, Cao [1 ]
Liu, Zhixin [1 ]
机构
[1] Xidian Univ, Natl Lab Radar Signal Proc, Xian 710071, Peoples R China
[2] Xidian Univ, Sch Elect Engn, Xian 710071, Peoples R China
基金
中国博士后科学基金; 中国国家自然科学基金; 国家重点研发计划;
关键词
Direction-of-arrival estimation; Estimation; Covariance matrices; Symmetric matrices; Linear antenna arrays; Sensor arrays; Mutual coupling; Direction of arrival (DOA); estimation of signal parameters via rotational invariance techniques (ESPRIT); nonuniform noise; mutual coupling (MC); coherent signals; least-squares (LS); DOA ESTIMATION; SOURCE LOCALIZATION; SPARSE REPRESENTATION; MIMO RADAR; EMITTER; DOMAIN;
D O I
10.1109/TVT.2021.3132673
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
We recently proposed a direction-of-arrival (DOA) estimation method for the coexistence of uncorrelated and coherent signals, which is related to the uniform linear antenna arrays with mutual coupling (MC) in the presence of unknown nonuniform noise. This technique, however, relies on the assumption of mixed signals and is not suitable for scenarios with purely coherent signals. This paper extends the mixed signal scenario to the purely coherent signals one on one hand, and on the other hand, allows us to directly adopt the ESPPRIT algorithm to perform DOA estimation in MC environments. To be specific, with the help of the least squares (LS) criterion, the nonuniform noise is first eliminated, and the traditional middle subarray scheme can then be employed to be immune to the influence of MC. Unlike the former operation, following a different line of attack the latter can make full use of the whole array and provide a larger array antenna aperture. Furthermore, we derive a new strategy to directly determine the DOAs without taking MC into account and performing spectral search. This brings substantial benefits to the DOA estimation accuracy and computational cost. The superiority of the proposed approaches is verified by numerical examples.
引用
收藏
页码:1656 / 1668
页数:13
相关论文
共 42 条
[1]   Spatial signature estimation for uniform linear arrays with unknown receiver gains and phases [J].
Astély, D ;
Swindlehurst, AL ;
Ottersten, B .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 1999, 47 (08) :2128-2138
[2]   Stochastic maximum-likelihood DOA estimation in the presence of unknown nonuniform noise [J].
Chen, Chiao En ;
Lorenzelli, Flavio ;
Hudson, Ralph. E. ;
Yao, Kung .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2008, 56 (07) :3038-3044
[3]   Mixed rectilinear sources localization under unknown mutual coupling [J].
Chen, Hua ;
Liu, Wei ;
Zhu, Wei-Ping ;
Swamy, M. N. S. ;
Wang, Qing .
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2019, 356 (04) :2372-2394
[4]   Off-Grid DOA Estimation Using Sparse Bayesian Learning in MIMO Radar With Unknown Mutual Coupling [J].
Chen, Peng ;
Cao, Zhenxin ;
Chen, Zhimin ;
Wang, Xianbin .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2019, 67 (01) :208-220
[5]   Joint Design of the Transmit and Receive Beamforming in MIMO Radar Systems [J].
Cheng, Ziyang ;
Liao, Bin ;
He, Zishu ;
Li, Jun ;
Xie, Julan .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2019, 68 (08) :7919-7930
[6]   Spatial smoothing for direction of arrival estimation of coherent signals in the presence of unknown mutual coupling [J].
Dai, J. ;
Ye, Z. .
IET SIGNAL PROCESSING, 2011, 5 (04) :418-425
[7]   Non-Iterative Subspace-Based DOA Estimation in the Presence of Nonuniform Noise [J].
Esfandiari, Majdoddin ;
Vorobyov, Sergiy A. ;
Alibani, Shnin ;
Karimi, Mahmood .
IEEE SIGNAL PROCESSING LETTERS, 2019, 26 (06) :848-852
[8]   DOA Estimations With Limited Snapshots Based on Improved Rank-One Correlation Model in Unknown Nonuniform Noise [J].
Fang, Yunfei ;
Zhu, Shengqi ;
Zeng, Cao ;
Gao, Yongchan ;
Li, Shidong .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2021, 70 (10) :10308-10319
[9]   Direction Finding by Covariance Matrix Sparse Representation With Sensor Gain and Phase Uncertainties in Unknown Non-Uniform Noise [J].
Fang, Yunfei ;
Zhu, Shengqi ;
Gao, Yongchan .
IEEE WIRELESS COMMUNICATIONS LETTERS, 2021, 10 (01) :175-179
[10]   DOA Estimation for Coherent Signals With Improved Sparse Representation in the Presence of Unknown Spatially Correlated Gaussian Noise [J].
Fang, Yunfei ;
Zhu, Shengqi ;
Gao, Yongchan ;
Zeng, Cao .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2020, 69 (09) :10059-10069