• DocumentCode
    2921807
  • Title

    A decision feedback filter

  • Author

    Gelfand, Saul B. ; Fitz, Michael P.

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA
  • fYear
    1995
  • fDate
    17-22 Sep 1995
  • Firstpage
    336
  • Abstract
    Due to its low complexity and robust performance, the decision feedback equalizer (DFE) continues to play an important role in high data rate and/or low cost systems, e.g., digital subscriber lines, magnetic recording and (possibly) mobile radio. Here we examine the possibility of recursive equalizers which perform soft-decisioning with complexity comparable to the DFE. The approach taken here involves initially making decisions like a DFE, followed by post filtering of these decisions using a recursive (conditionally) linear filter structure; we call this a decision feedback filter (DFF). Significantly, the DFF can be set-up to provably retain the performance capability of the DFE at high SNR, and empirically has improved performance over a wide range of SNR
  • Keywords
    decision feedback equalisers; recursive filters; SNR; decision feedback equalizer; decision feedback filter; low complexity; post filtering; recursive equalizers; recursive linear filter structure; robust performance; soft-decisioning; Bit error rate; Costs; Data engineering; Decision feedback equalizers; Finite impulse response filter; High performance computing; Magnetic separation; Nonlinear filters; Robustness; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 1995. Proceedings., 1995 IEEE International Symposium on
  • Conference_Location
    Whistler, BC
  • Print_ISBN
    0-7803-2453-6
  • Type

    conf

  • DOI
    10.1109/ISIT.1995.550323
  • Filename
    550323