• DocumentCode
    1649681
  • Title

    BAAD: Bidirectional Arbitrated Adaptive DFE

  • Author

    Gang Wang ; Ebert, J.-P. ; Kraemer, Rolf

  • Author_Institution
    IHP GmbH, Frankfurt
  • fYear
    2006
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper presents a bidirectional arbitrated adaptive DFE (BAAD) algorithm that enables the use of low- complexity adaptive DFE in the bidirectional equalization framework. Through converting a nonminimum phase channel into two near minimum phase channels, which facilitate concurrent equalization using two DFE´s with short feedforward filters in a time-forward and a time-reverse directions and the application of the existing approximate channel inverse initialization method, we overcome the slow and/or ill convergence problem of the two adaptive DFE´s in BAAD algorithm. In terms of computational complexity, the BAAD algorithm is more amenable to practical implementation than the existing bidirectional arbitrated DFE (BAD) algorithm that necessitates long FFF and computationally intensive minimum- mean-square-error DFE (MMSE-DFE). Numerical simulation results of BAAD algorithm corroborate its effectiveness.
  • Keywords
    adaptive filters; decision feedback equalisers; least mean squares methods; bidirectional arbitrated adaptive DFE; channel inverse initialization method; computational complexity; decision feedback equalization algorithm; feedforward filters; intensive minimum-mean-square-error; nonminimum phase channel; AWGN; Bit error rate; Blind equalizers; Computational complexity; Convergence; Decision feedback equalizers; Field-flow fractionation; Filters; Intersymbol interference; Maximum likelihood estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sarnoff Symposium, 2006 IEEE
  • Conference_Location
    Princeton, NJ
  • Print_ISBN
    978-1-4244-0002-7
  • Type

    conf

  • DOI
    10.1109/SARNOF.2006.4534797
  • Filename
    4534797