• DocumentCode
    2944276
  • Title

    Error Event Characterization on 2-D ISI Channels

  • Author

    Demirkan, Ismail ; Siegel, Paul H. ; Wolf, Jack K.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., California Univ., San Diego, La Jolla, CA
  • fYear
    2006
  • fDate
    9-14 July 2006
  • Firstpage
    1095
  • Lastpage
    1099
  • Abstract
    For one-dimensional (1-D) recording channels, the detector performance can be assessed by the distance properties of the channel, which are defined in terms of the maximum-likelihood decoding trellis. Error events with minimum and near minimum distances play an important role in the performance of the recording system particularly at moderate to high signal-to-noise ratio (SNR). In this paper, we analyze the distance properties of two-dimensional (2-D) inter-symbol interference channels, in particular the 2-D PR1 channel which is an extension of the 1-D PR1 channel. The minimum distance of this channel is proved to be 2 and a complete characterization of the distance-2 error events is provided. Also, the error events with squared-Euclidean distance 6 are partially characterized. Analogous to 1-D channels, error-state diagrams for 2-D channels can be constructed to characterize the error events. We propose an efficient error event search algorithm operating on the error-state diagram that is applicable to any 2-D channel
  • Keywords
    channel coding; intersymbol interference; maximum likelihood decoding; search problems; trellis codes; 2D ISI channels; SNR; error event characterization; error event search algorithm; error-state diagram; inter-symbol interference channels; maximum-likelihood decoding trellis; signal-to-noise ratio; squared-Euclidean distance; Computer errors; Detectors; Holography; Intersymbol interference; Iterative algorithms; Lifting equipment; Maximum likelihood decoding; Maximum likelihood detection; Signal processing algorithms; Two dimensional displays;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 2006 IEEE International Symposium on
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    1-4244-0505-X
  • Electronic_ISBN
    1-4244-0504-1
  • Type

    conf

  • DOI
    10.1109/ISIT.2006.261953
  • Filename
    4036134