• DocumentCode
    3069452
  • Title

    Optimal thresholds for GMD decoding with ℓ+1 over ℓ-extended Bounded Distance decoders

  • Author

    Senger, Christian ; Sidorenko, Vladimir R. ; Bossert, Martin ; Zyablov, Victor V.

  • Author_Institution
    Inst. of Telecommun. & Appl. Inf. Theor., Ulm Univ., Ulm, Germany
  • fYear
    2010
  • fDate
    13-18 June 2010
  • Firstpage
    1100
  • Lastpage
    1104
  • Abstract
    We investigate threshold-based multi-trial decoding of concatenated codes with an inner Maximum-Likelihood decoder and an outer error/erasure ℓ+1/ℓ-extended Bounded Distance decoder, i.e. a decoder which corrects ε errors and τ erasures if ℓ+1/ ℓε+τ ≤ do-1, where do is the minimum distance of the outer code and ℓ ∈ ℕ{0}. This is a generalization of Forney´s GMD decoding, which was considered only for ℓ = 1, i.e. outer Bounded Minimum Distance decoding. One important example for ℓ+1/ℓ-extended Bounded Distance decoders is decoding of ℓ-Interleaved Reed-Solomon codes. Our main contribution is a threshold location formula, which allows to optimally erase unreliable inner decoding results, for a given number of decoding trials and parameter ℓ. Thereby, the term optimal means that the residual codeword error probability of the concatenated code is minimized. We give an estimation of this probability for any number of decoding trials.
  • Keywords
    Reed-Solomon codes; decoding; error correction; error correction codes; GMD decoding; Reed-Solomon codes; bounded distance decoder; bounded minimum distance decoding; concatenated codes; error correction; maximum likelihood decoder; multi-trial decoding; residual codeword error probability; Concatenated codes; Error analysis; Error correction codes; Error probability; Information theory; Linear programming; Maximum likelihood decoding; Maximum likelihood estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory Proceedings (ISIT), 2010 IEEE International Symposium on
  • Conference_Location
    Austin, TX
  • Print_ISBN
    978-1-4244-7890-3
  • Electronic_ISBN
    978-1-4244-7891-0
  • Type

    conf

  • DOI
    10.1109/ISIT.2010.5513698
  • Filename
    5513698