• DocumentCode
    3417157
  • Title

    Direct Blind Signal Detection Based on Improved Ant Colony Algorithm

  • Author

    Yu, Shujuan ; Niu, Hairong ; Yu, Chuang

  • Author_Institution
    Coll. of Electron. Sci. & Eng., Nanjing Univ. of Posts & Telecommun., Nanjing, China
  • Volume
    3
  • fYear
    2010
  • fDate
    23-24 Oct. 2010
  • Firstpage
    573
  • Lastpage
    577
  • Abstract
    Blind signal detection by basic ant colony optimization algorithm which is limited to slow convergence speed and local optimum. An improved ant colony optimization algorithm of the direct blind signal detection is proposed in this paper. The algorithm adjusts the pheromone update methods of ant colony algorithm, adds the corresponding parameter control in the local update rule and the global update rule of pheromone. Simulation results show that the improved algorithm has fast convergence speed and stable performance compared with the literature algorithms.
  • Keywords
    blind source separation; optimisation; signal detection; direct blind signal detection; global update rule; improved ant colony optimization algorithm; local update rule; pheromone update methods; Ant colony optimization; Bit error rate; Equations; Gallium; Mathematical model; Optimization; Signal processing algorithms; ant colony optimization algorithms; blind detection; blind equalization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence and Computational Intelligence (AICI), 2010 International Conference on
  • Conference_Location
    Sanya
  • Print_ISBN
    978-1-4244-8432-4
  • Type

    conf

  • DOI
    10.1109/AICI.2010.358
  • Filename
    5656623