• DocumentCode
    2963399
  • Title

    A turbo codes optimization method using particle swarm algorithm

  • Author

    An, Jing ; Kang, Qi ; Wang, Lei ; Wu, Qidi

  • Author_Institution
    Sch. of Mech. & Autom. Eng., Shanghai Inst. of Technol., Shanghai
  • fYear
    2008
  • fDate
    1-8 June 2008
  • Firstpage
    3814
  • Lastpage
    3819
  • Abstract
    Turbo Codes present a new direction for the channel encoding, especially since they were adopted for multiple norms of telecommunications, such as deeper communication, etc. To obtain an excellent performance, it is necessary to design robust turbo code interleaver and decoding algorithms. In this paper, we are investigating particle swarm algorithm as a promising optimization method to find good interleaver for the large frame sizes, as well as design the decoding optimization mode (PSO-Turbo); and apply the proposed PSO-Turbo codes mode to the security radio data transmission; in which, a kind of transport control proposal based on PSO-Turbo optimizer for CBTC wireless channel is designed and simulated to validate our method.
  • Keywords
    channel coding; data communication; decoding; interleaved codes; particle swarm optimisation; radiocommunication; turbo codes; CBTC wireless channel; PSO-Turbo; channel encoding; decoding algorithm; decoding optimization mode; particle swarm algorithm; security radio data transmission; telecommunication; transport control; turbo code interleaver; turbo code optimization; Algorithm design and analysis; Data communication; Data security; Decoding; Design optimization; Optimization methods; Particle swarm optimization; Robustness; Size control; Turbo codes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2008. IJCNN 2008. (IEEE World Congress on Computational Intelligence). IEEE International Joint Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1098-7576
  • Print_ISBN
    978-1-4244-1820-6
  • Electronic_ISBN
    1098-7576
  • Type

    conf

  • DOI
    10.1109/IJCNN.2008.4634346
  • Filename
    4634346