• DocumentCode
    3125830
  • Title

    On the design of binary serially concatenated convolutional codes

  • Author

    Benedetto, Sergio ; Gaggero, Luciano ; Garello, Roberto ; Monorsi, G.

  • Author_Institution
    Dipt. di Elettronica, Politecnico di Torino, Italy
  • fYear
    1999
  • fDate
    6-10 Jun 1999
  • Firstpage
    32
  • Lastpage
    36
  • Abstract
    The serial concatenation of simple binary convolutional codes through an interleaver is a technique that yields, through iterative decoding, performance similar to, and in some cases better than, those of turbo codes (parallel concatenated convolutional codes). The design of serially concatenated codes with short and medium interleavers is considered in this paper; comparisons between union bounds, maximum-likelihood sequence decoding and iterative decoding are presented. An example of code and interleaver optimization is reported. An alternative scheme to current GSM standard channel coding is also analysed
  • Keywords
    binary codes; cellular radio; channel coding; code standards; concatenated codes; convolutional codes; interleaved codes; iterative decoding; maximum likelihood decoding; optimisation; sequential decoding; telecommunication standards; GSM standard channel coding; binary convolutional codes; binary serially concatenated convolutional codes; code design; code optimization; interleaver; interleaver optimization; iterative decoding; maximum-likelihood sequence decoding; medium interleaver; parallel concatenated convolutional codes; performance; serial concatenation; short interleaver; turbo codes; union bounds; Channel coding; Concatenated codes; Convolutional codes; Delay; GSM; Iterative decoding; Maximum likelihood decoding; Telecommunications; Turbo codes; Zinc;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Theory Mini-Conference, 1999
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    0-7803-5653-5
  • Type

    conf

  • DOI
    10.1109/CTMC.1999.790232
  • Filename
    790232