• DocumentCode
    2831847
  • Title

    Genetic Algorithms for Better Turbo Codes

  • Author

    Snasel, Vaclav ; Platos, Jan ; Kromer, Pavel ; Ouddane, Nabil

  • Author_Institution
    Dept. of Comput. Sci., VSB - Tech. Univ. of Ostrava, Ostrava
  • fYear
    2008
  • fDate
    1-5 Sept. 2008
  • Firstpage
    544
  • Lastpage
    548
  • Abstract
    Throughout the past decade, the discovery of turbo codes has been considered as one of the most successful researches whose impact significantly enhanced the quality of modern communication systems. To obtain an excellent performance, it is necessary to design robust turbo code interleaver. In the recent time, there were several attempts to apply genetic algorithms to improve the performance of turbo codes by optimization of the interleaver. This paper investigates the optimization of turbo code interleaver with free distance as a fitness function.
  • Keywords
    genetic algorithms; turbo codes; fitness function; genetic algorithms; optimization; robust turbo code interleaver; Bit error rate; Concatenated codes; Data mining; Databases; Delay; Genetic algorithms; Iterative decoding; Niobium; Signal to noise ratio; Turbo codes; genetic algorithms; interleaver optimization; turbo code;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Database and Expert Systems Application, 2008. DEXA '08. 19th International Workshop on
  • Conference_Location
    Turin
  • ISSN
    1529-4188
  • Print_ISBN
    978-0-7695-3299-8
  • Type

    conf

  • DOI
    10.1109/DEXA.2008.95
  • Filename
    4624773