• DocumentCode
    1446922
  • Title

    Turbo decoding for partial response channels using spinstand data

  • Author

    Souvignier, Tom ; Keirn, Zak ; Xu, Catherine

  • Author_Institution
    Texas Instrum. Inc., Longmont, CO, USA
  • Volume
    36
  • Issue
    5
  • fYear
    2000
  • fDate
    9/1/2000 12:00:00 AM
  • Firstpage
    2167
  • Lastpage
    2169
  • Abstract
    The partial response channel can be viewed as a rate-1 encoder in which the output alphabet differs from the input alphabet. In serially concatenated coding schemes, the partial response channel can serve as the inner encoder. Recent works on the application of turbo decoding techniques to partial response channels have used channel models to investigate system performance. While the models provided some insight into the performance of turbo decoding techniques, performance in a real system, with electronic and signal-dependent media noise, remained unknown. This paper will demonstrate the performance of turbo decoding techniques using real and modeled spinstand data. A simple serial concatenation system will be presented that uses as its outer code a single convolutional code and as its inner code the partial response channel. Significant gains will be shown over QMTR coded systems
  • Keywords
    concatenated codes; convolutional codes; decoding; error correction codes; iterative methods; magnetic recording noise; partial response channels; turbo codes; convolutional code; inner code; input alphabet; outer code; output alphabet; partial response channels; rate-1 encoder; serially concatenated coding schemes; signal-dependent media noise; spinstand data; turbo decoding; turbo decoding techniques; Concatenated codes; Convolution; Convolutional codes; Error correction codes; Iterative decoding; Iterative methods; Partial response channels; Partial response signaling; System performance; Turbo codes;
  • fLanguage
    English
  • Journal_Title
    Magnetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9464
  • Type

    jour

  • DOI
    10.1109/20.908344
  • Filename
    908344