Title :
Adaptive Constant Modulus Algorithm based oncomplex Givens rotations
Author :
Boudjellal, A. ; Abed-Meraim, Karim ; Belouchrani, A. ; Ravier, Ph
Author_Institution :
Prisme Lab., Polytech Orleans, Orleans, France
fDate :
June 29 2014-July 2 2014
Abstract :
This paper deals with adaptive Constant Modulus Algorithm (CMA) for the blind separation of communication signals. Ikhlef et al. proposed in 2010 an efficient block implementation of the CMA using Givens rotations. We introduce herein a fast adaptive implementation of this method which exploits recent developments on whitening techniques together with appropriate updating of the used statistics and efficient selection of the Givens rotation parameters. The proposed algorithm shows significantly improved performance with respect to existing techniques as illustrated by the simulation results.
Keywords :
blind source separation; statistical analysis; CMA; adaptive constant modulus algorithm; blind source separation; communication signals; complex Givens rotation parameter selection; whitening techniques; Blind equalizers; Conferences; Covariance matrices; Interference; Signal processing algorithms; Signal to noise ratio; Adaptive Whitening; Complex Givens Rotations; Constant Modulus Algorithm (CMA);
Conference_Titel :
Statistical Signal Processing (SSP), 2014 IEEE Workshop on
Conference_Location :
Gold Coast, VIC
DOI :
10.1109/SSP.2014.6884601