Joint DOD and DOA Estimation of Coherent Targets for Coprime MIMO Radar

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

3 Scopus Citations
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Detail(s)

Original languageEnglish
Pages (from-to)1408-1420
Journal / PublicationIEEE Transactions on Signal Processing
Volume71
Online published17 Apr 2023
Publication statusPublished - 2023

Abstract

Recently, coprime arrays have attracted lots of interest due to their ability of providing enhanced degrees-of-freedom and reduced mutual coupling effect compared to conventional uniform linear arrays. Benefitting from these excellent properties, coprime multiple-input multiple-output (MIMO) radar has been recently suggested for improving parameter identifiability and target detection. In this paper, we address the problem of joint direction-of-departure (DOD) and direction-of-arrival (DOA) estimation of coherent targets in coprime MIMO radar. First of all, we establish an extended virtual uniform rectangular array (URA) by performing array interpolation on the transmit and receive arrays of coprime MIMO radar. Subsequently, we derive a low-rank block Hankel matrix that is constructed using the correlation information of the virtual URA expected outputs, and utilize the matched filter outputs to recover the block Hankel matrix by solving a low-rank structured matrix completion problem. Finally, we estimate the DODs and DOAs of coherent targets by applying the modified matrix pencil method on the recovered low-rank matrix. We also derive the Cramér-Rao bounds with closed-form expressions for DOD and DOA estimation of coherent targets using coprime MIMO radar. The proposed algorithm can identify multiple coherent targets and achieve parameter automatic pairing. Numerical results demonstrate the superiority of the proposed algorithm over several existing approaches when handling coherent targets. © 2023 IEEE

Research Area(s)

  • array interpolation, block Hankel matrix, coherent target, Coprime MIMO radar, Covariance matrices, direction-of-arrival (DOA), Direction-of-arrival estimation, direction-of-departure (DOD), Estimation, low-rank structured matrix completion, MIMO communication, MIMO radar, Signal processing algorithms, US Department of Defense

Citation Format(s)

Joint DOD and DOA Estimation of Coherent Targets for Coprime MIMO Radar. / Zhang, Xue; Zheng, Zhi; Wang, Wen-Qin et al.
In: IEEE Transactions on Signal Processing, Vol. 71, 2023, p. 1408-1420.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review