• DocumentCode
    3499042
  • Title

    Joint Generalized Antenna Combination and Symbol Detection Based on Minimum Bit Error Rate: A Particle Swarm Optimization Approach

  • Author

    Huang, Kyar-Chan ; Fang, Wen-Hsien ; Lu, Hoang-Yang ; Chen, Yie-Tarng

  • Author_Institution
    Dept. of Electron. Eng., Nat. Taiwan Univ. of Sci. & Technol., Taipei
  • fYear
    2008
  • fDate
    11-14 May 2008
  • Firstpage
    252
  • Lastpage
    256
  • Abstract
    In order to reduce hardware cost and achieve superior performance in multi-input multi-output (MIMO) systems, this paper proposes a novel scheme for joint antenna combination and symbol detection. More specifically, the new approach simultaneously determines the transformation weighting for antenna combination to lower the RF chains called for and to design the minimum bit error rate (MBER) detector to effectively mitigate the impairment due to interference. The joint decision statistic, however, is highly nonlinear and the particle swarm optimization (PSO) algorithm is employed to reduce the computational overhead. Conducted simulation results show that the new approach yields satisfactory performance with reduced computational overhead compared with pervious works.
  • Keywords
    MIMO communication; antenna arrays; error statistics; multiuser detection; particle swarm optimisation; RF chain; generalized antenna combination; joint decision statistic; minimum bit error rate multiuser detector; multiinput multioutput system; particle swarm optimization algorithm; symbol detection; Bit error rate; Computational modeling; Costs; Detectors; Hardware; MIMO; Particle swarm optimization; Radio frequency; Radiofrequency interference; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference, 2008. VTC Spring 2008. IEEE
  • Conference_Location
    Singapore
  • ISSN
    1550-2252
  • Print_ISBN
    978-1-4244-1644-8
  • Electronic_ISBN
    1550-2252
  • Type

    conf

  • DOI
    10.1109/VETECS.2008.64
  • Filename
    4525620