• DocumentCode
    1429512
  • Title

    A new method for Viterbi decoder simulation using importance sampling

  • Author

    Sadowsky, John S.

  • Author_Institution
    Sch. of Electr. Eng., Purdue Univ., West Lafayette, IN, USA
  • Volume
    38
  • Issue
    9
  • fYear
    1990
  • fDate
    9/1/1990 12:00:00 AM
  • Firstpage
    1341
  • Lastpage
    1351
  • Abstract
    Each simulation run simulates a single error event-that is, a subsequence of incorrect trellis branching decisions-and importance sampling is used to emphasize important nontrivial error events. The fundamental principles of the error event simulation method in conjunction with importance sampling are reviewed. The importance sampling background for coded communications systems is discussed in the context of block codes, because it is easier to present the fundamentals of importance sampling without the additional complexities of Viterbi decoding. The details of the error event simulation method for Viterbi decoders and numerical examples that demonstrate this method are presented. These numerical examples involve both hard and soft decision decoding for the ideal additive Gaussian noise channel. The technique is shown to provide markedly improved efficiency
  • Keywords
    Monte Carlo methods; coding errors; decoding; error statistics; Monte Carlo technique; Viterbi decoder simulation; block codes; coded communications systems; error event simulation method; hard decision decoding; ideal additive Gaussian noise channel; importance sampling; incorrect trellis branching decisions; nontrivial error events; soft decision decoding; Computational modeling; Decoding; Discrete event simulation; Error probability; Frequency estimation; Monte Carlo methods; Numerical simulation; Physics; Sampling methods; Viterbi algorithm;
  • fLanguage
    English
  • Journal_Title
    Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0090-6778
  • Type

    jour

  • DOI
    10.1109/26.61375
  • Filename
    61375