• DocumentCode
    2517524
  • Title

    Blind equalization-combinations of Bussgang- and higher-order-statistics-based methods

  • Author

    Herrmann, F. ; Nandi, A.K.

  • Author_Institution
    Dept. of Electron. & Electr. Eng., Strathclyde Univ., Glasgow, UK
  • fYear
    1997
  • fDate
    35732
  • Firstpage
    42705
  • Lastpage
    42710
  • Abstract
    A new generation of higher-order-statistics (HOS) based blind equalization techniques, like the eigenvector algorithm (EVA) published in 1997 by B. Jelonnek, D. Boss and K.-D. Kammeyer, leads to a much better performance. In this paper these techniques are used to initialize a conventionally Bussgang algorithm. The purpose is to show, through simulations, that combinations of both techniques have the ability to improve the equalization quality and to reduce the computational complexity as well. Also, we consider the modifications of these algorithms for the application of a fractionally-spaced (FTS) equalizer
  • Keywords
    adaptive equalisers; Bussgang algorithm; adaptive equalization; blind equalization; computational complexity reduction; eigenvector algorithm; fractionally spaced equalizer; higher order statistics; maximum kurtosis criterion; performance; simulations;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Adaptive Signal Processing for Mobile Communication Systems (Ref. No. 1997/383), IEE Colloquium on
  • Conference_Location
    London
  • Type

    conf

  • DOI
    10.1049/ic:19971318
  • Filename
    668644