• DocumentCode
    1810621
  • Title

    Producing soft-decision information at the output of a class IV partial response Viterbi detector

  • Author

    Knudson, Kelly J. ; Wolf, Jack K. ; Milstein, Laurence B.

  • Author_Institution
    Center for Magnetic Recording Res., California Univ., San Diego, La Jolla, CA, USA
  • fYear
    1991
  • fDate
    23-26 Jun 1991
  • Firstpage
    820
  • Abstract
    A method is described for producing soft-decision information at the output of a Class-IV partial response maximum-likelihood (PRML) detector, when the additive noise samples are independent, Gaussian random variables. This method directly applies the soft-decision Viterbi algorithm, presented by J. Hagenauer and P. Hoeher (1989), to the Class-IV partial response channel. The PRML detector is augmented to produce a reliability value for each binary symbol in the maximum-likelihood (ML) sequence estimate of the binary input. The reliability value is a function of the estimated probability of error for the binary symbol. The soft-decisions are used to enhance the performance of an outer error correction code
  • Keywords
    error correction codes; signal detection; telecommunication channels; Class-IV partial response channel; Gaussian random variables; Viterbi algorithm; Viterbi detector; additive noise samples; binary input; binary symbol; error probability; independent variables; maximum likelihood sequence estimate; outer error correction code; partial response maximum likelihood detector; reliability value; soft-decision information; Additive noise; Detectors; Error probability; Magnetic recording; Maximum likelihood detection; Maximum likelihood estimation; Partial response channels; Polynomials; Random variables; Viterbi algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 1991. ICC '91, Conference Record. IEEE International Conference on
  • Conference_Location
    Denver, CO
  • Print_ISBN
    0-7803-0006-8
  • Type

    conf

  • DOI
    10.1109/ICC.1991.162473
  • Filename
    162473