A Bayesian Robust Adaptive Beamforming Based on Phase-Invariant MMSE Criterion

Author

Shi, Wei ; Zhang, Xian-Da

Author_Institution

Tsinghua Univ., Beijing

Volume

14

Issue

7

fYear

2007

fDate

7/1/2007 12:00:00 AM

Firstpage

465

Lastpage

468

Abstract

The Bayesian beamformer under minimum mean square error (MMSE) criterion has been reported to perform well against uncertainty in source direction of arrival (DOA), but its performance depends on the location of phase reference. This letter proposes a phase-invariant MMSE criterion under which the Bayesian beamformer is independent of the location of phase reference. An iterative algorithm is developed for designing such a new Bayesian beamformer. Numerical examples demonstrate that the new Bayesian beamformer can provide better performance than the existing Bayesian MMSE beamformer for either uniform or non-uniform linear array.

Keywords

Bayes methods; array signal processing; direction-of-arrival estimation; iterative methods; mean square error methods; Bayesian beamformer; Bayesian robust adaptive beamforming; DOA; iterative algorithm; linear array; minimum mean square error criterion; phase-invariant MMSE criterion; source direction-of-arrival; Algorithm design and analysis; Array signal processing; Bayesian methods; Direction of arrival estimation; Iterative algorithms; Mean square error methods; Phased arrays; Robustness; Sensor arrays; Uncertainty; Bayes methods; direction-of-arrival; minimum variance distortionless response (MVDR); phase-invariant MMSE; robust adaptive beamforming;

fLanguage

English

Journal_Title

Signal Processing Letters, IEEE

Publisher

ieee

ISSN

1070-9908

Type

jour

DOI

10.1109/LSP.2006.891304

Filename

4244494