• DocumentCode
    464999
  • Title

    Multiuser Detection Based on Particle Swarm Optimation Algorithm

  • Author

    Guo, Zhen-Qing ; Xiao, Yang ; Lee, Moon Ho

  • Author_Institution
    Inst. of Inf. Sci., Beijing Jiaotong Univ.
  • fYear
    2007
  • fDate
    27-30 May 2007
  • Firstpage
    2582
  • Lastpage
    2585
  • Abstract
    Particle swarm optimization algorithm (PSO) has showed great advantage in solving multidimensional and non-linear problems, and it is easy to be applied. By improving binary particle swarm optimization (BPSO) algorithm and applying it in direct sequence code-division multiple-access (DS-CDMA) system as a multiuser detection algorithm, a BPSO multiuser detection (BPSO-MUD) is proposed in this paper and the relationship between the physical meaning of each variable in BPSO-MUD and DS-CDMA system is described clearly, followed by the discussion of highly efficient multiuser detection (MUD). Simulations show that these proposed detections are benefited greatly from the BPSO, they have significant performance improvements over conventional detection (CD), and they approach the performances without multiple access interference (MAI) in CDMA system; moreover they are easy to be applied in CDMA system.
  • Keywords
    code division multiple access; multiuser detection; particle swarm optimisation; BPSO multiuser detection algorithm; DS-CDMA system; binary particle swarm optimization algorithm; direct sequence code-division multiple-access system; multidimensional problems; nonlinear problems; Baseband; Information science; Maximum likelihood estimation; Moon; Multiaccess communication; Multidimensional systems; Multiple access interference; Multiuser detection; Particle swarm optimization; Particle tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2007. ISCAS 2007. IEEE International Symposium on
  • Conference_Location
    New Orleans, LA
  • Print_ISBN
    1-4244-0920-9
  • Electronic_ISBN
    1-4244-0921-7
  • Type

    conf

  • DOI
    10.1109/ISCAS.2007.377843
  • Filename
    4253205