• DocumentCode
    36922
  • Title

    Energy detection of unknown signals in Gamma-shadowed Rician fading environments with diversity reception

  • Author

    Peppas, Kostas P. ; Efthymoglou, George ; Aalo, Valentine A. ; Alwakeel, Mohammed ; Alwakeel, Sami

  • Author_Institution
    Nat. Centre for Sci. Res. -`Demokritos´, Inst. of Inf. & Telecommun., Athens, Greece
  • Volume
    9
  • Issue
    2
  • fYear
    2015
  • fDate
    1 22 2015
  • Firstpage
    196
  • Lastpage
    210
  • Abstract
    This study presents a comprehensive performance analysis of an energy detector over Gamma-shadowed Rician fading channels, namely Rician fading channels with the fluctuating line-of-sight components following the Gamma distribution. This composite multi-path/shadowing model has been shown to provide a remarkably accurate fading characterisation while leading to closed-form expressions for important channel statistics. Rapidly convergent infinite series representations are firstly derived for the average probability of detection and the area under the receiver operating characteristic curve for the no-diversity reception case. These results are then extended to the case of maximal ratio, equal gain and selection diversity. To this end, novel analytical expressions for the statistics of the end-to-end signal-to-noise ratio of equal gain and selection diversity receivers, operating over Gamma-shadowed Rician fading channels are derived. Analytical results are substantiated by Monte Carlo simulation, as well as by extensive numerically evaluated results.
  • Keywords
    Monte Carlo methods; Rician channels; diversity reception; gamma distribution; Gamma distribution; Gamma-shadowed Rician fading environment; Monte Carlo simulation; average probability; channel statistics; composite multipath-shadowing model; comprehensive performance analysis; diversity reception; end-to-end signal-to-noise ratio; energy detection; fluctuating line-of-sight components; infinite series representations; receiver operating characteristic curve;
  • fLanguage
    English
  • Journal_Title
    Communications, IET
  • Publisher
    iet
  • ISSN
    1751-8628
  • Type

    jour

  • DOI
    10.1049/iet-com.2014.0170
  • Filename
    7022004