• DocumentCode
    2209553
  • Title

    Performance evaluation of genetic algorithm assisted synchronous Direct Sequence CDMA systems

  • Author

    Pradhan, Prasanta Kumar ; Patra, Sarat Kumar

  • Author_Institution
    Dept. of Electron. & Comm. Eng., Nat. Inst. of Technol., Rourkela, India
  • fYear
    2010
  • fDate
    July 29 2010-Aug. 1 2010
  • Firstpage
    151
  • Lastpage
    154
  • Abstract
    In this paper, we applied genetic algorithm (GA) scheme as a suboptimal detection of a bit-synchronous code division multiple access (CDMA) systems over a Gaussian channel. The GA scheme attempts to search for the user´s transmitted bit sequence that optimizes the correlation matrix employed. Simulation results showed that the Bit Error Rate (BER) performance of our proposed multiuser detector is better than those of conventional receivers like Minimum Mean Square Error(MMSE), Matched Filter(MF) and Rake Receivers.
  • Keywords
    Gaussian channels; code division multiple access; genetic algorithms; least mean squares methods; BER; Gaussian channel; MF; MMSE; bit error rate; bit-synchronous code division multiple access systems; genetic algorithm assisted synchronous direct sequence CDMA Systems; genetic algorithm scheme; matched filter; minimum mean square error; multiuser detector; rake receivers; suboptimal detection; AWGN; Bit error rate; Detectors; Fading; Multiaccess communication; Multipath channels; Receivers; DS-CDMA; Evolutionary computing; GA; MMSE; Rake receiver;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial and Information Systems (ICIIS), 2010 International Conference on
  • Conference_Location
    Mangalore
  • Print_ISBN
    978-1-4244-6651-1
  • Type

    conf

  • DOI
    10.1109/ICIINFS.2010.5578718
  • Filename
    5578718