Near-Field Target Localization for EMVS-MIMO Radar With Arbitrary Configuration

被引:19
作者
Chen, Hua [1 ,2 ]
Fang, Jiaxiong [1 ]
Wang, Weilong [1 ]
Liu, Wei [3 ]
Tian, Ye [1 ]
Wang, Qing [4 ]
Wang, Gang [1 ]
机构
[1] Ningbo Univ, Fac Elect Engn & Comp Sci, Ningbo 315211, Peoples R China
[2] Zhejiang Key Lab Mobile Network Applicat Technol, Ningbo 315211, Peoples R China
[3] Queen Mary Univ London, Sch Elect Engn & Comp Sci, London E1, England
[4] Tianjin Univ, Sch Elect Informat Engn, Tianjin 300072, Peoples R China
基金
中国国家自然科学基金; 英国工程与自然科学研究理事会;
关键词
Tensors; MIMO radar; Vectors; Receivers; Radar; Noise measurement; Transmitters; Electromagnetic vector sensors (EMVSs); multiple-input multiple-output (MIMO); near-field (NF); tensor decomposition; MULTIDIMENSIONAL HARMONIC RETRIEVAL; 2D-DOA ESTIMATION; BOUNDS; DOA;
D O I
10.1109/TAES.2024.3392172
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
A 3-D near-field (NF) source localization method is introduced for a bistatic multiple-input-multiple-output radar system equipped with arbitrary electromagnetic vector sensors at both the transmitter and receiver. First, to obtain estimates of the steering matrices of the transmitting array and the receiving array, tensor decomposition is performed on the covariance matrix of the outputs. Then, multiple parameters of targets, including 2-D direction-of-departure, range from transmitter to target, along with 2-D direction-of-arrival, range from target to receiver, and 2-D receive polarization angle with respect to receiver can be obtained by exploiting the property of rotation invariance. Subsequently, a linear equation can be constructed to determine all location parameters of NF targets. The proposed method can provide automatically paired multiparameters without peak search and has low computational complexity. Moreover, the Cramer-Rao bound is derived as a performance benchmark for the model under consideration, and the effectiveness of the proposed method is illustrated by a series of numerical simulations.
引用
收藏
页码:5406 / 5417
页数:12
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