• DocumentCode
    1910698
  • Title

    Log-normal approximation of chi-square distributions for signal processing

  • Author

    Jouini, Wassim ; Le Guennec, Daniel ; Moy, Christophe ; Palicot, Jacques

  • Author_Institution
    SCEE/IETR, SUPELEC, Cesson-Sévigné, France
  • fYear
    2011
  • fDate
    13-20 Aug. 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    We investigate in this paper a Log-Normal approximation of X2 distributions. Our study is motivated by the analysis of ratios of random variables where both, Log-Normal and X2 distributions are involved. Such ratios appear, for instance, when dealing with an energy detector while only an imperfect knowledge of the noise level is available. In order to characterize the distribution of the ratio, an accurate approximation of the X2 distribution by a Log-Normal distribution would highly simplify this problem known to be analytically intractable otherwise.
  • Keywords
    approximation theory; log normal distribution; signal processing; Chi-square distribution; X2 distribution; energy detector; log normal approximation; signal processing; Approximation methods; Detectors; Log-normal distribution; Mathematical model; Noise; Polynomials;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    General Assembly and Scientific Symposium, 2011 XXXth URSI
  • Conference_Location
    Istanbul
  • Print_ISBN
    978-1-4244-5117-3
  • Type

    conf

  • DOI
    10.1109/URSIGASS.2011.6050531
  • Filename
    6050531