Robust adaptive beamforming for general-rank signal models using worst-case performance optimization

Shahram Shahbazpanahi, Alex B. Gershman, Zhi Quan Luo, Kon Max Wong

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Scopus citations

Abstract

The performance of adaptive beamforming methods is known to degrade in the presence of even small mismatches between the actual and presumed array responses to the desired signal. In this paper, we propose a new powerful approach to robust adaptive beamforming in the presence of unknown arbitrary-type mismatches of the desired signal array response. Our approach is developed for the most general case of an arbitrary dimension of the desired signal subspace and is applicable to both rank-one and higher-rank desired signal models. The proposed beamformer is based on an explicit modeling of uncertainties in the desired signal array response and data covariance matrix as well as worst-case performance optimization. Simple closed-form solution to this robust adaptive beamforming problem is obtained. This solution naturally combines two different types of diagonal loading which are applied to the sample and presumed signal covariance matrices. Our new robust beamformer has a computational complexity comparable to that of the traditional adaptive beamforming algorithms while offers a greatly improved robustness and faster convergence rate as compared to existing robust beamformers.

Original languageEnglish (US)
Title of host publication2002 IEEE Sensor Array and Multichannel Signal Processing Workshop Proceedings, SAME 2002
PublisherIEEE Computer Society
Pages13-17
Number of pages5
ISBN (Electronic)0780375513
DOIs
StatePublished - Jan 1 2002
EventIEEE Sensor Array and Multichannel Signal Processing Workshop, SAME 2002 - Rosslyn, United States
Duration: Aug 4 2002Aug 6 2002

Publication series

NameProceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop
Volume2002-January
ISSN (Electronic)2151-870X

Other

OtherIEEE Sensor Array and Multichannel Signal Processing Workshop, SAME 2002
CountryUnited States
CityRosslyn
Period8/4/028/6/02

Fingerprint Dive into the research topics of 'Robust adaptive beamforming for general-rank signal models using worst-case performance optimization'. Together they form a unique fingerprint.

Cite this