• DocumentCode
    1403931
  • Title

    A General Algebraic Algorithm for Blind Extraction of One Source in a MIMO Convolutive Mixture

  • Author

    Dubroca, Rémi ; De Luigi, Christophe ; Castella, Marc ; Moreau, Eric

  • Author_Institution
    LSEET, Univ. of Sud Toulon Var, La Valette-du-Var, France
  • Volume
    58
  • Issue
    5
  • fYear
    2010
  • fDate
    5/1/2010 12:00:00 AM
  • Firstpage
    2484
  • Lastpage
    2493
  • Abstract
    The paper deals with the problem of blind source extraction from a multiple-input/multiple-output (MIMO) convolutive mixture. We define a new criterion for source extraction which uses higher-order contrast functions based on so called reference signals. It generalizes existing reference-based contrasts. In order to optimize the new criterion, we propose a general algebraic algorithm based on best rank-1 tensor approximation. Computer simulations illustrate the good behavior and the interest of our algorithm in comparison with other approaches.
  • Keywords
    MIMO communication; blind source separation; convolution; tensors; blind source extraction; general algebraic algorithm; higher-order contrast functions; multiple-input multiple-output convolutive mixture; rank-1 tensor approximation; reference signals; Blind source extraction; contrast functions; higher-order statistics; independent component analysis; tensor decomposition;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/TSP.2010.2042487
  • Filename
    5406145