• DocumentCode
    3069921
  • Title

    Blind source separation with order recovery for MIMO system and an Alamouti or Tarokh space-time block coding scheme

  • Author

    Daumont, Steredenn ; GUennec, Daniel Le

  • Author_Institution
    IETR/SUPELEC, Rennes
  • fYear
    2007
  • fDate
    15-18 Dec. 2007
  • Firstpage
    431
  • Lastpage
    436
  • Abstract
    We consider the problem of blind sources separation (BSS), i.e., without the use of training sequences, for a multiuser communication system using a linear multiple input multiple output (MIMO) system combined with an Alamouti or Tarokh space-time block coding scheme. In this coding scheme, each symbol is transmitted using several time slots and through a linear instantaneous mixing channel. In order to separate the sources, we use the multiuser kurtosis (MUK) algorithm, usually used in Bell layered space time (BLAST) scheme. This algorithm allows to separate the sources in spite to redundancy insert by Alamouti and Tarokh scheme. So, we propose a new method, applied after MUK algorithm, which raises the ambiguity of sources order inherent in BSS algorithm, thanks to redundancy. Furthermore, it is shown theoretically that using this method reduces the mean square error (MSE) of 3 dB compared with a method which doesn´t exploit the redundancy.
  • Keywords
    MIMO communication; blind source separation; block codes; mean square error methods; space-time codes; Alamouti scheme; Bell layered space time scheme; MIMO system; Tarokh scheme; blind source separation; instantaneous mixing channel; mean square error method; multiple input multiple output system; multiuser communication system; multiuser kurtosis algorithm; order recovery; space-time block coding; time slots; Blind source separation; Block codes; Information technology; MIMO; Mean square error methods; Redundancy; Signal processing; Signal processing algorithms; Source separation; Transmitting antennas; BSS; MIMO; MUK algorithm; OSTBC;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Information Technology, 2007 IEEE International Symposium on
  • Conference_Location
    Giza
  • Print_ISBN
    978-1-4244-1835-0
  • Electronic_ISBN
    978-1-4244-1835-0
  • Type

    conf

  • DOI
    10.1109/ISSPIT.2007.4458103
  • Filename
    4458103