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Optimised Statistical Performance in an Adaptive Beamformer

Lookup NU author(s): Professor John Hudson, Dr Wai Lok Woo



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 Cramer-Rao lower bounds on signal estimation.

Publication metadata

Author(s): Hudson JE, Woo WL

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 2009 IEEE/SP 15th Workshop on Statistical Signal Processing

Year of Conference: 2009

Pages: 97-100

Date deposited: 30/03/2010

Publisher: IEEE


DOI: 10.1109/SSP.2009.5278629

Notes: E-ISBN: 9781424427116

Library holdings: Search Newcastle University Library for this item

ISBN: 9781424427093