Title :
Optimised statistical performance in an adaptive beamformer
Author :
Hudson, John E. ; Woo, W.L.
Author_Institution :
Newcastle Univ., Newcastle upon Tyne, UK
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 Cramer-Rao lower bounds on signal estimation.
Keywords :
array signal processing; interference (signal); least squares approximations; optimisation; statistics; Cramer-Rao lower bounds; excess weight noise; interference cancellation; least squares adaptive steered beamformer; optimised statistical performance; signal estimation; Adaptive arrays; Blind source separation; Covariance matrix; Estimation; Intelligent networks; Interference cancellation; Jitter; Least squares approximation; Least squares methods; Noise cancellation; Cramér Rao bound; blind source separation; constrained least squares beamformer; excess weight jitter;
Conference_Titel :
Statistical Signal Processing, 2009. SSP '09. IEEE/SP 15th Workshop on
Conference_Location :
Cardiff
Print_ISBN :
978-1-4244-2709-3
Electronic_ISBN :
978-1-4244-2711-6
DOI :
10.1109/SSP.2009.5278629
