DocumentCode
1790744
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
fYear
2014
fDate
June 29 2014-July 2 2014
Firstpage
165
Lastpage
168
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);
fLanguage
English
Publisher
ieee
Conference_Titel
Statistical Signal Processing (SSP), 2014 IEEE Workshop on
Conference_Location
Gold Coast, VIC
Type
conf
DOI
10.1109/SSP.2014.6884601
Filename
6884601
Link To Document