DOA Estimation of Mixed Circular and Noncircular Sources using Nonuniform Linear Array

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

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Detail(s)

Original languageEnglish
Journal / PublicationIEEE Transactions on Aerospace and Electronic Systems
Publication statusOnline published - 23 May 2022

Abstract

In this paper, an algorithm for accurately estimating the directions-of-arrival (DOAs) of mixed circular and noncircular signals with a nonuniform linear array is devised. Via applying coarray interpolation on the difference and sum coarrays, we firstly formulate two nuclear norm minimization problems to reconstruct an augmented covariance matrix and an augmented unconjugated covariance matrix, respectively. Based on the reconstructed matrices, we further build the extended covariance matrix in the coarray domain. Finally, we construct several spectral functions to successively estimate the DOAs of the nonstrictly noncircular, strictly noncircular and circular signals. Unlike the existing schemes, the proposed algorithm can identify accurately circular, strictly noncircular and nonstrictly noncircular signals. Numerical results demonstrate the superiority of the proposed algorithm over existing techniques.

Research Area(s)

  • augmented covariance matrix, augmented unconjugated covariance matrix, Circular and noncircular signals, coarray interpolation, Covariance matrices, Direction-of-arrival estimation, DOA estimation, Estimation, Indexes, Interpolation, Minimization, nonuniform linear array (NLA), nuclear norm minimization (NNM), Sensors