• DocumentCode
    761605
  • Title

    A soft-output decoding algorithm for concatenated systems

  • Author

    Wang, Xiao-an ; Wicker, Stephen B.

  • Author_Institution
    Sch. of Electr. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
  • Volume
    42
  • Issue
    2
  • fYear
    1996
  • fDate
    3/1/1996 12:00:00 AM
  • Firstpage
    543
  • Lastpage
    553
  • Abstract
    In order to fully utilize the SDD (soft-decision decoding) capacity of the outer codes in a concatenated system, reliability information on the inner decoder outputs (called soft outputs) needs to be provided to the outer decoder. This paper shows that a modified MAP algorithm can be effectively and accurately used to generate such information. In the course of the presentation, a metric based on the reliability information is proposed for the outer decoder. This metric has the Euclidean metric on AWGN channels as its special case, which leads to the concept of generalized SDD (GSDD). Several practical concerns regarding the proposed soft-output decoder are addressed through theoretical analysis and simulation: the effect of finite decoding depth, computational complexity, range overflow, and scaling. Comparisons to previous work on soft-output decoders are made
  • Keywords
    Gaussian channels; computational complexity; concatenated codes; maximum likelihood decoding; AWGN channels; Euclidean metric; computational complexity; concatenated systems; finite decoding depth; generalised soft-decision decoding; inner decoder outputs; maximum likelihood metric; modified MAP algorithm; outer codes; outer decoder; range overflow; reliability information; scaling; simulation; soft-output decoding algorithm; AWGN channels; Analytical models; Computational complexity; Computational modeling; Concatenated codes; Convolutional codes; Decoding; Euclidean distance; Merging; Viterbi algorithm;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/18.485723
  • Filename
    485723