• DocumentCode
    2385057
  • Title

    Simplified turbo decoding for binary Markov channels

  • Author

    Garcia-Frias, Javier ; Villasenor, John D.

  • Author_Institution
    Electr. & Comput. Eng., Delaware Univ., Newark, DE, USA
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    67
  • Abstract
    We present a simplified method for combining turbo decoding and binary Markov channels. The resulting performance is slightly worse than that of the best known methods using supertrellis approaches, but it clearly outperforms traditional systems based on channel interleaving. Moreover, the complexity is much lower than in the supertrellis case and the structure of the encoder does not depend on the parameters of the hidden Markov model describing the channel
  • Keywords
    channel coding; computational complexity; decoding; error statistics; hidden Markov models; turbo codes; binary Markov channels; channel interleaving; complexity; hidden Markov model; supertrellis approaches; turbo decoding; Capacity planning; Channel capacity; Convolutional codes; Digital communication; Error probability; Hidden Markov models; Interleaved codes; Iterative decoding; Memoryless systems; Turbo codes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 2000. Proceedings. IEEE International Symposium on
  • Conference_Location
    Sorrento
  • Print_ISBN
    0-7803-5857-0
  • Type

    conf

  • DOI
    10.1109/ISIT.2000.866357
  • Filename
    866357