• DocumentCode
    823936
  • Title

    Combined equalization and coding for high-density saturation recording channels

  • Author

    Abbott, William L. ; Cioffi, John M.

  • Author_Institution
    Quantum Corp., Milpitas, CA, USA
  • Volume
    10
  • Issue
    1
  • fYear
    1992
  • fDate
    1/1/1992 12:00:00 AM
  • Firstpage
    168
  • Lastpage
    181
  • Abstract
    Combined equalization and coding approaches which significantly outperform previous techniques are presented for the binary Lorentzian channel with additive Gaussian noise. The authors develop a technique based on the concatenation of standard trellis codes with an equalization code and a block decision feedback equalizer (BDFE). Signal sets for the trellis code are generated by partitioning BDFE output vectors according to four- and eight-dimensional lattices. They also investigate the combination of a decision feedback equalizer (DFE) and a convolutional code (CC) and find that this system provides theoretical coding gains from 1 to 3 dB in the high linear recording density range of 2⩽pw50/T⩽3. Although the BDFE with the trellis code system does not perform as well as the DFE with CC system at high densities, it does produce substantial coding gains at low linear recording densities
  • Keywords
    encoding; equalisers; error detection codes; magnetic recording; random noise; telecommunication channels; 4D lattice; 8D lattice; additive Gaussian noise; binary Lorentzian channel; block decision feedback equalizer; coding; coding gains; concatenation; convolutional code; decision feedback equalizer; equalization; equalization code; error detection codes; high-density saturation recording channels; linear recording density; magnetic recording; output vectors; signal sets; trellis codes; Additive noise; Code standards; Convolutional codes; Decision feedback equalizers; Gain; Gaussian noise; Lattices; Signal generators; Standards development; Vectors;
  • fLanguage
    English
  • Journal_Title
    Selected Areas in Communications, IEEE Journal on
  • Publisher
    ieee
  • ISSN
    0733-8716
  • Type

    jour

  • DOI
    10.1109/49.124476
  • Filename
    124476