• 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