• DocumentCode
    316432
  • Title

    A simple algorithm for asymptotically optimal reduced-state sequence estimation

  • Author

    Kratochwil, Konrad

  • Author_Institution
    Inst. of Comput. Technol., Vienna Univ. of Technol., Austria
  • Volume
    2
  • fYear
    1997
  • fDate
    12-16 Oct 1997
  • Firstpage
    718
  • Abstract
    A simple algorithm for reduced-state sequence estimation on channels with intersymbol interference is presented. The algorithm is based on the conventional Viterbi algorithm. The number of states is reduced by discarding trellis-paths based on their (modified) path metric and the minimum Euclidean distance in the trellis. An analysis of the error-event probability shows that the algorithm achieves performance of the maximum likelihood sequence estimator at high signal-to-noise ratios. The computational complexity and memory requirements of the algorithm are derived, the implementation of the algorithm is described in detail and simulation results for a severe ISI channel are provided
  • Keywords
    Gaussian channels; computational complexity; digital communication; error statistics; intersymbol interference; maximum likelihood estimation; sequences; Viterbi algorithm; asymptotically optimal reduced-state sequence estimation; computational complexity; error-event probability; intersymbol interference; memory requirements; minimum Euclidean distance; path metric; severe ISI channel; trellis-paths; Algorithm design and analysis; Computational complexity; Error analysis; Euclidean distance; Intersymbol interference; Maximum likelihood estimation; Performance analysis; Signal analysis; Signal to noise ratio; Viterbi algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Universal Personal Communications Record, 1997. Conference Record., 1997 IEEE 6th International Conference on
  • Conference_Location
    San Diego, CA
  • ISSN
    1091-8442
  • Print_ISBN
    0-7803-3777-8
  • Type

    conf

  • DOI
    10.1109/ICUPC.1997.627258
  • Filename
    627258