• DocumentCode
    1349546
  • Title

    Code acquisition of DS/SS signals in fading channels using an LMS adaptive filter

  • Author

    El-Tarhuni, Mohamed G. ; Sheikh, Asrar U H

  • Author_Institution
    Northern Telecom (Nortel), Ottawa, Ont., Canada
  • Volume
    2
  • Issue
    4
  • fYear
    1998
  • fDate
    4/1/1998 12:00:00 AM
  • Firstpage
    85
  • Lastpage
    88
  • Abstract
    The mean acquisition time performance for a direct-sequence spread-spectrum (DS/SS) code acquisition technique utilizing a finite impulse response (FIR) least-mean-square (LMS)-adaptive filter is investigated in fading conditions. The optimum tap-weight vector for the adaptive filter is derived and computer simulation results are presented to assess the acquisition performance for the system. It is shown that fading causes a slight degradation to the mean acquisition time (less than 3-dB signal-to-noise ratio (SNR) degradation) which is far less than that incurred by other systems utilizing matched filters (about 10 dB). In frequency selective fading channels, the adaptive nature of the proposed scheme is exploited to acquire the strongest received path and as the paths fade the new strongest available path is acquired.
  • Keywords
    FIR filters; adaptive filters; adaptive signal processing; cellular radio; coding errors; digital filters; digital radio; error statistics; fading; filtering theory; least mean squares methods; personal communication networks; spread spectrum communication; BER; DS/SS signals; FIR adaptive filter; LMS adaptive filter; SNR; code acquisition; computer simulation results; digital cellular systems; direct-sequence spread-spectrum; fading channels; finite impulse response; frequency selective fading channels; matched filters; mean acquisition time performance; optimum tap-weight vector; personal communications systems; signal-to-noise ratio; Adaptive filters; Computer simulation; Degradation; Fading; Finite impulse response filter; Frequency; Least squares approximation; Matched filters; Signal to noise ratio; Spread spectrum communication;
  • fLanguage
    English
  • Journal_Title
    Communications Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1089-7798
  • Type

    jour

  • DOI
    10.1109/4234.664213
  • Filename
    664213