Optimised statistical performance in an adaptive beamformer

Hudson, John E. and Woo, Wai Lok (2009) Optimised statistical performance in an adaptive beamformer. In: SSP '09 - 2009 IEEE/SP 15th Workshop on Statistical Signal Processing, 31st August - 3rd September 2009, Cardiff, UK.

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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.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Blind source separation, Constrained least squares beamformer, Cramér Rao bound, Excess weight jitter
Subjects:	G400 Computer Science H600 Electronic and Electrical Engineering
Department:	Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User:	Paul Burns
Date Deposited:	21 May 2019 12:05
Last Modified:	10 Oct 2019 18:47
URI:	http://nrl.northumbria.ac.uk/id/eprint/39374

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