Coarray Interpolation for DOA Estimation Using Coprime EMVS Array

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

3 Scopus Citations
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Author(s)

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Detail(s)

Original languageEnglish
Pages (from-to)548-552
Journal / PublicationIEEE Signal Processing Letters
Volume28
Online published3 Mar 2021
Publication statusPublished - 2021

Abstract

In this letter, we develop a coarray interpolation method for direction-of-arrival (DOA) estimation using the coprime electromagnetic vector-sensor (EMVS) array. Firstly, we derive the coarray signal model of the coprime EMVS array, which can be viewed as a combination of multiple polarization components. Subsequently, we fill in zero elements in each polarization component and recover the corresponding low-rank covariance matrix by solving a nuclear norm minimization (NNM) problem. By exploiting the recovered covariance matrices, we eventually construct a larger covariance matrix to carry out DOA estimation. Numerical experiment results demonstrate the superiority of the proposed algorithm over conventional methods.

Research Area(s)

  • coarray interpolation, coprime EMVS array, difference coarray, Direction-of-arrival (DOA) estimation

Citation Format(s)

Coarray Interpolation for DOA Estimation Using Coprime EMVS Array. / Fu, Mingcheng; Zheng, Zhi; Wang, Wen-Qin; So, Hing Cheung.

In: IEEE Signal Processing Letters, Vol. 28, 2021, p. 548-552.

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