New Approaches to Direction-of-Arrival Estimation with Sensor Arrays in Unknown Nonuniform Noise

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

31 Scopus Citations
View graph of relations

Author(s)

Related Research Unit(s)

Detail(s)

Original languageEnglish
Article number7676346
Pages (from-to)8982-8989
Journal / PublicationIEEE Sensors Journal
Volume16
Issue number24
Publication statusPublished - 15 Dec 2016

Abstract

It is known that classical subspace-based direction-of-arrival (DOA) estimation algorithms are not straightforwardly applicable to scenarios with unknown spatially nonuniform noise. Among the state-of-the-art solutions, this problem is tackled by iterative subspace estimation algorithms to incorporate subspace-based approaches or nonlinear optimization routines to bypass the direct identification of subspaces. In this paper, the problem of DOA estimation in nonuniform noise is revisited by devising two computationally efficient proposals. It is proved herein that, if the signals are uncorrelated, the signal and noise subspaces can be directly obtained from the eigendecomposition of a reduced array covariance matrix. On the other hand, when the signals are correlated, the estimation of the noise covariance matrix is formulated into a rank minimization problem which can be approximately solved by semidefinite programming. In both cases, the signal and noise subspaces are easy to compute without iterations. Consequently, classical subspace-based algorithms can be employed to determine the DOAs. Numerical examples are provided to demonstrate the performance and applicability of the proposed methods.

Research Area(s)

  • direction-of-arrival estimation, nonuniform noise, Semidefinite programming, Sensor array processing

Citation Format(s)

New Approaches to Direction-of-Arrival Estimation with Sensor Arrays in Unknown Nonuniform Noise. / Liao, Bin; Huang, Lei; Guo, Chongtao; So, Hing Cheung.

In: IEEE Sensors Journal, Vol. 16, No. 24, 7676346, 15.12.2016, p. 8982-8989.

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