• DocumentCode
    2060764
  • Title

    Noise uncertainty analysis of energy detector: Bounded and unbounded approximation relationship

  • Author

    Bahamou, Sara ; Nafkha, Amor

  • Author_Institution
    Mines-Telecom, Telecom Bretagne, Cesson-Sévigné, France
  • fYear
    2013
  • fDate
    9-13 Sept. 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Energy detection is a simple non-coherent approach used for spectrum sensing that offers linear computational complexity and low latency. Its main shortcoming is the well-known noise uncertainty problem, which results in failed detection in the very low signal-to-noise ratio. In this paper, we give a theoretical analysis of the noise uncertainty modeling with energy detection to drive a relationship between bounded and unbounded uncertainty approximation.
  • Keywords
    cognitive radio; log normal distribution; radio spectrum management; signal detection; energy detector; linear computational complexity; noise uncertainty analysis; spectrum sensing; unbounded approximation; Approximation methods; Cognitive radio; Detectors; Signal to noise ratio; Uncertainty; SNRwall; energy detector; log-normal approximation; noise uncertainty; spectrum sensing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference (EUSIPCO), 2013 Proceedings of the 21st European
  • Conference_Location
    Marrakech
  • Type

    conf

  • Filename
    6811718