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

Hua Chen, Jiaxiong Fang, Weilong Wang, Wei Liu, Ye Tian, Qing Wang, Gang Wang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

17 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)5406-5417
Number of pages12
JournalIEEE Transactions on Aerospace and Electronic Systems
Volume60
Issue number4
DOIs
Publication statusPublished - Apr 2024

Keywords

  • Electromagnetic vector sensors (EMVSs)
  • multiple-input multiple-output (MIMO)
  • near-field (NF)
  • tensor decomposition

ASJC Scopus subject areas

  • Aerospace Engineering
  • Electrical and Electronic Engineering

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