• DocumentCode
    1115453
  • Title

    Adaptive pseudo-noise code acquisition scheme using automatic censoring for DS/SS communication in frequency-selective Rayleigh fading channel

  • Author

    Aissaoui, A. ; Hammoudi, Z. ; Farrouki, A.

  • Author_Institution
    Dept. d´´Electron., Univ. de Constantine, Constantine
  • Volume
    2
  • Issue
    2
  • fYear
    2008
  • fDate
    2/1/2008 12:00:00 AM
  • Firstpage
    359
  • Lastpage
    365
  • Abstract
    An adaptive pseudo-noise code acquisition scheme based on automatic multipath signal cancellation for mobile communication systems in frequency-selective Rayleigh fading channel is proposed. The proposed system combines a serial strategy and an automatic censored cell-averaging constant false alarm rate (CFAR) detector based on ordered data variability. This system does not require any a priori information about the number of interferences caused by the presence of multipath signals in the reference channel. The mean acquisition time and the detection performances of the proposed processor are evaluated and compared with those of the conventional adaptive acquisition scheme based on fixed-censoring point detector. It is shown that the considered scheme outperforms significantly the conventional one. The effects of various channel parameters on the acquisition performance, namely the number of resolvable paths, the partial correlation length and the signal-to-noise ratio are also investigated.
  • Keywords
    Rayleigh channels; adaptive signal detection; correlation methods; interference suppression; mobile communication; multipath channels; pseudonoise codes; spread spectrum communication; CFAR detector; DS-SS communication; adaptive pseudo-noise code acquisition scheme; automatic censoring; constant false alarm rate; direct sequence spread spectrum communication; frequency-selective Rayleigh fading channel; mobile communication system; multipath signal cancellation; ordered data variability; partial correlation length;
  • fLanguage
    English
  • Journal_Title
    Communications, IET
  • Publisher
    iet
  • ISSN
    1751-8628
  • Type

    jour

  • DOI
    10.1049/iet-com:20070012
  • Filename
    4479531