• DocumentCode
    2959855
  • Title

    Blind deconvolution algorithms for MIMO-FIR channels driven by white but fourth-order colored signals

  • Author

    Kawamoto, Mitsuru ; Inouye, Yujiro ; Liu, Ruey-wen

  • Author_Institution
    Dept. of Electron. & Control Syst., Shimane Univ., Matsue, Japan
  • Volume
    2
  • fYear
    2000
  • fDate
    Oct. 29 2000-Nov. 1 2000
  • Firstpage
    1202
  • Abstract
    This paper deals with the blind deconvolution problem of MIMO-FIR channels driven by source signals which are temporally second-order uncorrelated but fourth-order correlated and spatially second- and fourth-order uncorrelated. We previously proposed a criterion for solving the blind deconvolution problem. However, we have not yet shown an algorithm to implement our proposed criterion. One of our objectives in the present paper is to propose an iterative algorithm for achieving blind deconvolution by using this criterion. To achieve this, we consider an approach called the non-deflation method. We propose an iterative algorithm based on this method. Moreover, we present a deflation algorithm using this criterion for the blind separation of MIMO constant channels.
  • Keywords
    MIMO systems; correlation methods; deconvolution; equalisers; iterative methods; telecommunication channels; transient response; MIMO constant channels; MIMO-FIR channels; blind deconvolution algorithms; blind separation; deflation algorithm; equalizer; fourth-order colored signals; fourth-order correlated signals; iterative algorithm; nondeflation method; source signals; spatially fourth-order uncorrelated signals; spatially second-order uncorrelated signals; temporally second-order uncorrelated signals; white signals; Control systems; Deconvolution; Digital communication; Equalizers; Image processing; Iterative algorithms; MIMO; Signal processing algorithms; Speech processing; Transfer functions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 2000. Conference Record of the Thirty-Fourth Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA, USA
  • ISSN
    1058-6393
  • Print_ISBN
    0-7803-6514-3
  • Type

    conf

  • DOI
    10.1109/ACSSC.2000.910754
  • Filename
    910754