• DocumentCode
    342794
  • Title

    Turbo codes optimization using genetic algorithms

  • Author

    Durand, Nicolas ; Alliot, Jean-Marc ; Bartolome, Boris

  • Author_Institution
    Lab. d´´Optimisation Globale, Centre d´´Etudes, Toulouse, France
  • Volume
    2
  • fYear
    1999
  • fDate
    1999
  • Abstract
    Turbo codes have been an important revolution in the digital communications world. Since their discovery, the coding community has been trying to understand, explain and improve turbo codes. The floor phenomenon is the parallel concatenated convolutional turbo codes main problem. In this paper, genetic algorithms are used to lower the free distance of such a code. Results in terms of bit error rate are compared to the other main methods
  • Keywords
    concatenated codes; convolutional codes; digital communication; genetic algorithms; turbo codes; bit error rate; coding; digital communications; floor phenomenon; free distance; genetic algorithms; parallely concatenated convolutional turbo codes; turbo codes optimization; Concatenated codes; Digital communication; Error correction; Genetic algorithms; Hamming distance; Interleaved codes; Maximum likelihood decoding; Maximum likelihood detection; Navigation; Turbo codes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 1999. CEC 99. Proceedings of the 1999 Congress on
  • Conference_Location
    Washington, DC
  • Print_ISBN
    0-7803-5536-9
  • Type

    conf

  • DOI
    10.1109/CEC.1999.782506
  • Filename
    782506
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=342794