• DocumentCode
    2501532
  • Title

    Analysis of ML-decoding of linear block codes using orthogonal signalling over Rayleigh-fading multiple-access channel

  • Author

    Haslach, Christoph ; Kim, Sang Wu

  • Author_Institution
    Inst. for Exp. Math., Essen Univ., Germany
  • fYear
    1998
  • fDate
    16-21 Aug 1998
  • Firstpage
    461
  • Abstract
    We discuss soft decision decoding of a DS-SSMA scheme with orthogonal signalling. The asymptotic efficiency of the discussed system is 0.209 for hard decision decoding (HD) and 0.531 information bits per channel chip for error/erasure decoding with the ratio threshold test (RTT) respectively. We derive a surprisingly easy and optimal decoding rule and give an upper bound for the decoding error rate of soft decision ML-decoding. Applying the optimal decoding rule, a suboptimal decoding algorithm is suggested that combines the ideas of error/erasure decoding and Chase (1972) algorithm. Finally we propose a modified encoding such that the efficiency of the system is doubled
  • Keywords
    Hadamard codes; Rayleigh channels; Reed-Solomon codes; block codes; error statistics; linear codes; maximum likelihood decoding; multi-access systems; multiuser channels; optimisation; spread spectrum communication; telecommunication signalling; Chase algorithm; DS-SSMA; Hadamard code; Rayleigh-fading multiple-access channel; Reed Solomon code; asymptotic efficiency; decoding error rate; error/erasure decoding; hard decision decoding; linear block codes; modified encoding; optimal decoding rule; orthogonal signalling; ratio threshold test; soft decision ML-decoding; suboptimal decoding algorithm; system efficiency; upper bound; Block codes; Error analysis; Error correction; Error correction codes; High definition video; Mathematics; Maximum likelihood decoding; Rayleigh channels; Signal analysis; Upper bound;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 1998. Proceedings. 1998 IEEE International Symposium on
  • Conference_Location
    Cambridge, MA
  • Print_ISBN
    0-7803-5000-6
  • Type

    conf

  • DOI
    10.1109/ISIT.1998.709066
  • Filename
    709066