• DocumentCode
    3447468
  • Title

    Performance of adaptation algorithms in multipath channel equalization for CDMA systems

  • Author

    Vliese, A.F.C. ; Netto, S.L. ; de Campos, M.L.R. ; Diniz, P.S.R.

  • Author_Institution
    COPPE, Univ. Fed. do Rio de Janeiro, Brazil
  • Volume
    3
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    1289
  • Abstract
    In this work, the performance of several adaptation algorithms are investigated for the reception of CDMA signals. Two adaptive receiving frameworks are considered: the standard channel equalization with training sequence, and the fractionally-spaced equalization. Amongst the several widely known adaptation algorithms, we consider the LMS, the RLS, the binormalized data-reusing (BNDR), and the quasi-Newton (QN) algorithms. The overall system behavior is verified in a multiuser environment (15 users), and for several values of the signal-to-noise ratio (SNR). Algorithm performances are measured by the resulting receiving bit error-rate
  • Keywords
    adaptive equalisers; adaptive signal processing; code division multiple access; digital radio; error statistics; least mean squares methods; mobile radio; CDMA systems; LMS algorithm; RLS algorithm; SNR; adaptation algorithms performance; adaptive receiving frameworks; binormalized data-reusing algorithm; fractionally-spaced equalization; multipath channel equalization; multiuser environment; quasi-Newton algorithm; receiving BER; receiving bit error-rate; signal-to-noise ratio; standard channel equalization; system behavior verification; training sequence; Adaptive equalizers; Adaptive filters; Delay; Electromagnetic propagation; Least squares approximation; Multiaccess communication; Multipath channels; Resonance light scattering; Sampling methods; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Circuits and Systems, 1999. Proceedings of ICECS '99. The 6th IEEE International Conference on
  • Conference_Location
    Pafos
  • Print_ISBN
    0-7803-5682-9
  • Type

    conf

  • DOI
    10.1109/ICECS.1999.814404
  • Filename
    814404