• DocumentCode
    1537824
  • Title

    Constrained coding for binary channels with high intersymbol interference

  • Author

    Karabed, Razmik ; Siegel, Paul H. ; Soljanin, Emina

  • Author_Institution
    Siemens Microelectron., Scotts Valley, CA, USA
  • Volume
    45
  • Issue
    6
  • fYear
    1999
  • fDate
    9/1/1999 12:00:00 AM
  • Firstpage
    1777
  • Lastpage
    1797
  • Abstract
    Partial-response (PR) signaling is used to model communications channels with intersymbol interference (ISI) such as the magnetic recording channel and the copper-wire channel for digital subscriber lines. Coding for improving noise immunity in higher order partial-response channels, such as the “extended” class-4 channels denoted EPR4, E2PR4, E3PR4, has become an important subject as the linear densities in magnetic recording approach those at which these partial-response channels are the best models of real channels. In this paper, we consider partial-response channels for which ISI is so severe that the channels fail to achieve the matched-filter bound (MFB) for symbol error rate, assuming maximum-likelihood decoding. We show that their performance can be improved to the MFB by high-rate codes based on constrained systems, some of which may even simplify the Viterbi (1979) detectors relative to the uncoded channels. We present several examples of high-rate constrained codes for E2PR4 and E3PR4 channels and evaluate their performance by simulation
  • Keywords
    channel coding; digital magnetic recording; digital subscriber lines; error statistics; intersymbol interference; maximum likelihood decoding; partial response channels; Cu; E2PR4; E3PR4; EPR4; ISI; Viterbi detectors; binary channels; communications channels; constrained coding; copper-wire channel; digital subscriber lines; extended class-4 channels; high intersymbol interference; high-rate codes; high-rate constrained codes; higher order partial-response channels; linear densities; magnetic recording channel; matched-filter bound; maximum-likelihood decoding; noise immunity; partial-response signaling; performance evaluation; simulation; symbol error rate; uncoded channels; Communication channels; DSL; Error analysis; Interference constraints; Intersymbol interference; Magnetic noise; Magnetic recording; Maximum likelihood decoding; Maximum likelihood detection; Viterbi algorithm;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/18.782099
  • Filename
    782099