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

• Published in: IEEE transactions on aerospace and electronic systems 2024-08, Vol.60 (4), p.5406-5417
• Main Authors: Chen, Hua, Fang, Jiaxiong, Wang, Weilong, Liu, Wei, Tian, Ye, Wang, Qing, Wang, Gang
• Format: Article
• Language: English
• Subjects: Covariance matrix; Cramer-Rao bounds; Direction of arrival; Electromagnetic vector sensors (EMVSs); Linear equations; Localization; Localization method; MIMO radar; multiple-input multiple-output (MIMO); Near fields; near-field (NF); Noise measurement; Parameters; Radar; Radar arrays; Radar equipment; Receivers; Sensor arrays; Steering; tensor decomposition; Tensors; Transmitters; Vectors
• ISSN: 0018-9251; 1557-9603
• DOI: 10.1109/TAES.2024.3392172

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.