• DocumentCode
    1486630
  • Title

    Sequence (Viterbi-equivalent) decoding

  • Author

    Schneider, Richard C.

  • Author_Institution
    IBM Corp., Tucson, AZ, USA
  • Volume
    24
  • Issue
    6
  • fYear
    1988
  • fDate
    11/1/1988 12:00:00 AM
  • Firstpage
    2539
  • Lastpage
    2541
  • Abstract
    A decoder for magnetic recording that is applicable to both a (0,3) code equalized and dicode channel and a (1,7) code equalized to a class-IV partial response channel is described. The decoder makes a decision after examining samples from a finite number of bits rather than one bit at a time. It is functionally equivalent to a specific type of Viterbi decoder. The decoder algorithm is significantly simplified by using knowledge of the run-length code constraints. Hardware sharing further reduces implementation complexity. A detailed description of the sequence-decoder algorithm and hardware implementation is given. Test results for both the (0,3) and (1,7) modulation codes at recorder densities of 24690 and 30480 fci (21946 and 40640 bpi) are included. Comparisons are made between the sequence-decoder and peak and threshold detection (bit-by-bit hard decision) for both the actual recording channels and a linear-filter channel simulator
  • Keywords
    decoding; magnetic recording; (0,3) code; (1,7) code; Viterbi decoder; actual recording channels; bit-by-bit hard decision; decoder algorithm; hardware implementation; implementation complexity; linear-filter channel simulator; magnetic recording; modulation codes; peak detection; recorder densities; run-length code constraints; sequence decoder detection; sequence-decoder algorithm; threshold detection; Decoding; Equations; Hardware; Intersymbol interference; Logic; Magnetic recording; Modulation coding; Signal to noise ratio; Testing; Viterbi algorithm;
  • fLanguage
    English
  • Journal_Title
    Magnetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9464
  • Type

    jour

  • DOI
    10.1109/20.92167
  • Filename
    92167