• DocumentCode
    1277673
  • Title

    Energy Detection of Unknown Signals in Fading and Diversity Reception

  • Author

    Herath, Sanjeewa P. ; Rajatheva, Nandana ; Tellambura, C.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., McGill Univ., Montreal, QC, Canada
  • Volume
    59
  • Issue
    9
  • fYear
    2011
  • fDate
    9/1/2011 12:00:00 AM
  • Firstpage
    2443
  • Lastpage
    2453
  • Abstract
    A comprehensive performance analysis of the energy detector over fading channels with single antenna reception or with antenna diversity reception is developed. For the no-diversity case and for the maximal ratio combining (MRC) diversity case, with either Nakagami-m or Rician fading, expressions for the probability of detection are derived by using the moment generating function (MGF) method and probability density function (PDF) method. The former, which avoids some difficulties of the latter, uses a contour integral representation of the Marcum-Q function. For the equal gain combining (EGC) diversity case, with Nakagami-m fading, expressions for the probability of detection are derived for the cases L =2,3,4 and L >; 4, where L is the number of diversity branches. For the selection combining (SC) diversity, with Nakagami-m fading, expressions for the probability of detection are derived for the cases L =2 and L >; 2. A discussion on the comparison between MGF and PDF methods is presented. We also derive several series truncation error bounds that allow series termination with a finite number of terms for a given figure of accuracy. These results help quantify and understand the achievable improvement in the energy detector´s performance with diversity reception. Numerical and simulation results are also provided.
  • Keywords
    Nakagami channels; Rician channels; diversity reception; probability; signal detection; Marcum-Q function; Nakagami-m fading; Rician fading; antenna diversity reception; energy detection; equal gain combining; fading channels; maximal ratio combining; moment generating function; probability density function; selection combining diversity; series truncation error bounds; unknown signals; Detectors; Diversity reception; Nakagami distribution; Rayleigh channels; Rician channels; Signal to noise ratio; Energy detection; MGF approach; Marcum-Q integrals; Nakagami-m fading; Rayleigh fading; Rician fading; cognitive radio; equal gain combining; maximal ratio combining; selection combining;
  • fLanguage
    English
  • Journal_Title
    Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0090-6778
  • Type

    jour

  • DOI
    10.1109/TCOMM.2011.071111.090349
  • Filename
    5958751