Optimised statistical performance in an adaptive beamformer

John E. Hudson, W. L. Woo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A modified least squares adaptive steered beamformer that aims to eliminate the excess weight noise induced by a strong desired signal is proposed. It functions by alternating projections of the array data onto a subspace orthogonal to both the desired signal and interferences. The desired signal can be finally recovered, while retaining interference cancellation, by the use of a commutation property of the projections. The new method generalizes previous solutions to this problem which have relied on ideal plane wave signal models and it can operate with imperfect knowledge of the array manifold while still achieving the appropriate Cramér-Rao lower bounds on signal estimation.

Original languageEnglish
Title of host publication2009 IEEE/SP 15th Workshop on Statistical Signal Processing, SSP '09
PublisherIEEE
Pages97-100
Number of pages4
ISBN (Electronic)9781424427116
ISBN (Print)9781424427093
DOIs
Publication statusPublished - 6 Oct 2009
Event2009 IEEE/SP 15th Workshop on Statistical Signal Processing, SSP '09 - Cardiff, United Kingdom
Duration: 31 Aug 20093 Sep 2009

Publication series

NameWorkshop on Statistical Signal Processing
PublisherIEEE
Volume2009
ISSN (Print)2373-0803

Conference

Conference2009 IEEE/SP 15th Workshop on Statistical Signal Processing, SSP '09
CountryUnited Kingdom
CityCardiff
Period31/08/093/09/09

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