• DocumentCode
    407749
  • Title

    New results on the search for convolutional self-doubly orthogonal codes suitable for iterative threshold decoding

  • Author

    Haccoun, David ; Cardinal, Christian ; Gagnon, Francois

  • Author_Institution
    Dept. of Electr. Eng., Ecole Polytech. de Montreal, Que., Canada
  • Volume
    1
  • fYear
    2003
  • fDate
    6-9 Oct. 2003
  • Firstpage
    304
  • Abstract
    We present new results on the search and determination of wide-sense convolutional self-doubly orthogonal codes (CSO2C-WS) which can be decoded using a simple iterative threshold decoding algorithm without interleavers. For their iterative decoding, in order to ensure the independence of observables over the first two iterations without the presence of interleavers, these CSO2C codes must satisfy some required orthogonal properties. The error performance of CSO2C codes, depends essentially on the number of taps, J, of the code generators, but not on the code memory length. We present a code searching technique, based on computer search heuristic algorithms, which has yielded the best known CSO2C-WS codes. Error performance simulation results are also provided. The construction method for CSO2C-WS has provided new codes with the shortest memory length having J ≤ 30.
  • Keywords
    convolutional codes; iterative decoding; search problems; code generators; code memory length; computer search heuristic algorithms; convolutional codes; iterative decoding; iterative threshold decoding; wide-sense convolutional self-doubly orthogonal codes; Computational modeling; Computer errors; Convergence; Convolutional codes; Councils; Delay; Heuristic algorithms; Iterative algorithms; Iterative decoding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference, 2003. VTC 2003-Fall. 2003 IEEE 58th
  • ISSN
    1090-3038
  • Print_ISBN
    0-7803-7954-3
  • Type

    conf

  • DOI
    10.1109/VETECF.2003.1285028
  • Filename
    1285028