• DocumentCode
    2958873
  • Title

    Blind multiuser detection for long-code multipath CDMA

  • Author

    Yang, Zigang ; Wang, Xiaodong

  • Author_Institution
    Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
  • Volume
    2
  • fYear
    2000
  • fDate
    Oct. 29 2000-Nov. 1 2000
  • Firstpage
    1148
  • Abstract
    We consider the problem of demodulating the multiuser information symbols in an uplink asynchronous CDMA system employing long (aperiodic) spreading sequences in unknown multipath channels. A novel blind Bayesian multiuser detector is derived for jointly channel estimation and symbol detection. Such a detector is based on the Bayesian inference of all unknown quantities. The Gibbs sampler, a Markov chain Monte Carlo (MCMC) procedure, is then used for Bayesian computation.
  • Keywords
    Bayes methods; Markov processes; Monte Carlo methods; cellular radio; code division multiple access; demodulation; fading channels; inference mechanisms; multipath channels; multiuser channels; parameter estimation; pseudonoise codes; signal detection; signal sampling; spread spectrum communication; Bayesian inference; Gibbs sampler; Markov chain Monte Carlo procedure; aperiodic spreading sequences; blind Bayesian multiuser detector; blind multiuser detection; cellular radio; channel estimation; demodulation; long spreading sequences; long-code multipath CDMA; multipath channels; multiuser information symbols; pseudo-random spreading sequences; symbol detection; uplink; uplink asynchronous CDMA system; Bayesian methods; Channel estimation; Code standards; Detectors; Matched filters; Monte Carlo methods; Multiaccess communication; Multipath channels; Multiuser detection; Propagation delay;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 2000. Conference Record of the Thirty-Fourth Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA, USA
  • ISSN
    1058-6393
  • Print_ISBN
    0-7803-6514-3
  • Type

    conf

  • DOI
    10.1109/ACSSC.2000.910694
  • Filename
    910694