• DocumentCode
    2770924
  • Title

    Blind Channel Estimation for MIMO Systems with Nonlinearities at the Receiver

  • Author

    Banani, S. Alireza ; Vaughan, Rodney G.

  • Author_Institution
    Sch. of Eng. Sci., Simon Fraser Univ., Burnaby, BC, Canada
  • fYear
    2010
  • fDate
    16-19 May 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper describes blind channel estimation for MIMO systems where there are nonlinear distortions in the receiver. The usual source of nonlinearity at the receiver is the front-end amplifier. A recursive algorithm estimates and tracks the channel through unscented transformation. Bussgang´s theorem is used to model the in-band distortion comprising a bandpass, memoryless nonlinearity. Simulations demonstrate the excellent accuracy of the algorithm and its power in compensating the effects of distortion. A realistic nonlinearity is almost completely compensated, for small- to mid-values of SNR.
  • Keywords
    MIMO communication; channel estimation; nonlinear distortion; radio receivers; Bussgang theorem; MIMO Systems; SNR; blind channel estimation; front-end amplifier; nonlinear distortions; receiver nonlinearities; recursive algorithm; Blind equalizers; Fading; Higher order statistics; MIMO; Nonlinear distortion; Rayleigh channels; Recursive estimation; Satellites; Signal processing algorithms; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference (VTC 2010-Spring), 2010 IEEE 71st
  • Conference_Location
    Taipei
  • ISSN
    1550-2252
  • Print_ISBN
    978-1-4244-2518-1
  • Electronic_ISBN
    1550-2252
  • Type

    conf

  • DOI
    10.1109/VETECS.2010.5493828
  • Filename
    5493828