• DocumentCode
    1585863
  • Title

    A fast adaptive receiver for interference suppression in DS-CDMA systems

  • Author

    Yoon, Jaeseung ; Doherty, John F.

  • Author_Institution
    Dept. of Electr. Eng., Pennsylvania State Univ., University Park, PA, USA
  • Volume
    2
  • fYear
    1999
  • fDate
    6/21/1905 12:00:00 AM
  • Firstpage
    821
  • Abstract
    We consider an asynchronous direct-sequence code-division multiple-access system in the near-far situation with additive white Gaussian noise. To suppress multiple access interference, we propose an adaptive receiver scheme that has a faster convergence rate than the conventional N-tap adaptive receiver (NAR). An NAR is decomposed into D<N subfilters and a D-tap adaptive combining filter is added at the outputs of the subfilters. The minimum mean squared error criterion is used for adaptation of both combining filter and subfilters. Computer simulation results are included to show the effectiveness of our adaptive receiver scheme
  • Keywords
    AWGN; adaptive filters; code division multiple access; convergence of numerical methods; interference suppression; least mean squares methods; receivers; spread spectrum communication; D-tap adaptive combining filter; DS-CDMA systems; N-tap adaptive receiver; additive white Gaussian noise; asynchronous direct-sequence code-division multiple-access system; convergence rate; fast adaptive receiver; interference suppression; minimum mean squared error criterion; multiple access interference; near-far situation; subfilters; AWGN; Adaptive filters; Additive white noise; Computer errors; Convergence; Interference suppression; Least squares approximation; Matched filters; Multiaccess communication; Power system modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Military Communications Conference Proceedings, 1999. MILCOM 1999. IEEE
  • Conference_Location
    Atlantic City, NJ
  • Print_ISBN
    0-7803-5538-5
  • Type

    conf

  • DOI
    10.1109/MILCOM.1999.821317
  • Filename
    821317