• DocumentCode
    3604334
  • Title

    Approximations for Performance of Energy Detector and p -Norm Detector

  • Author

    Sharma Banjade, Vesh Raj ; Tellambura, Chintha ; Hai Jiang

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Alberta, Edmonton, AB, Canada
  • Volume
    19
  • Issue
    10
  • fYear
    2015
  • Firstpage
    1678
  • Lastpage
    1681
  • Abstract
    Although the approximations based on the central limit theorem (CLT) for the detection probability (Pd) of the energy detector and of its more generalized cousin, the p-norm detector, are accurate for large sample sizes, their accuracy is poor otherwise. A recent work has addressed this problem by developing a cube-of-Gaussian approximation (CGA). However, CGA may not be the only option and thus this letter investigates five other classical approximations for deriving Pd. They tightly match the exact values even for few samples and thus are more accurate than CLT. These approximations have been unnoticed in the signal detection research community and this letter aims at making them known to a wider audience. Because the range of their potential applications could be diverse, to demonstrate their utility, we derive a novel expression for the area under the receiver operating characteristic curve of the p-norm detector.
  • Keywords
    Gaussian distribution; approximation theory; probability; signal detection; CGA; CLT; central limit theorem; cube-of-Gaussian approximation; detection probability; energy detector; p-norm detector; signal detection; Accuracy; Approximation methods; Cognitive radio; Detectors; Fading; Signal to noise ratio; $p$-norm detector; Detection probability; energy detector; false alarm probability; p-norm detector;
  • fLanguage
    English
  • Journal_Title
    Communications Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1089-7798
  • Type

    jour

  • DOI
    10.1109/LCOMM.2015.2466105
  • Filename
    7182280