• DocumentCode
    1518797
  • Title

    Energy Detection Limits Under Log-Normal Approximated Noise Uncertainty

  • Author

    Jouini, Wassim

  • Author_Institution
    IETR, SUPELEC, Cesson Sevigne, France
  • Volume
    18
  • Issue
    7
  • fYear
    2011
  • fDate
    7/1/2011 12:00:00 AM
  • Firstpage
    423
  • Lastpage
    426
  • Abstract
    We revisit, in this letter, the impact of noise uncertainty on the performance of the well known energy detector. Mainly, we reconsider the case of a Log-Normal approximated noise uncertainty suggested in the work of Alexander Sonnenschein and Philip M. Fishman. We show that under a Log-Normal noise uncertainty, closed form expressions of the detector´s performances and limits can be provided. Thus we show that, relying on mild approximations, we can design a detector with a fixed probability of false alarm function of the uncertainty, and present a new expression of the SNR-wall that depends on the desired performances of the detector as well as the introduced uncertainty parameter.
  • Keywords
    approximation theory; log normal distribution; noise; probability; signal detection; SNR-wall; energy detection; false alarm function; fixed probability; log-normal approximated noise uncertainty; Approximation methods; Detectors; Mathematical model; Noise level; Signal to noise ratio; Uncertainty; Energy detection, detection limits, Log-Normal noise uncertainty, SNR-wall;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2011.2155649
  • Filename
    5770193