RLS adaptive blind beamforming algorithmfor cyclostationary signals

8 July 1999

journal article
Published by Institution of Engineering and Technology (IET) in Electronics Letters

Vol. 35 (14) , 1136-1137
https://doi.org/10.1049/el:19990822

Abstract

A new cost function, which is a modification of the cost function of Castedo and Figugiras-Vidal for the adaptive blind beamforming of cyclostationary signals, is proposed. The proposed cost function enables the well-known recursive least-squares technique to be applied. Simulations demonstrate that the resulting algorithm has a faster convergence speed than the stochastic gradient-based algorithm of Castedo and Figugiras-Vidal.link_to_subscribed_fulltex

Keywords

RECURSIVE LEAST-SQUARES TECHNIQUE
CONVERGENCE SPEED
COST FUNCTION
CYCLOSTATIONARY SIGNALS
RLS ADAPTIVE BLIND BEAMFORMING ALGORITHM

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