• DocumentCode
    49319
  • Title

    Spectrum sensing method based on likelihood ratio goodness-of-fit test

  • Author

    Teguig, D. ; Le Nir, V. ; Scheers, B.

  • Author_Institution
    Commun. Inf. Syst. & Sensors (CISS) Dept., R. Mil. Acad., Brussels, Belgium
  • Volume
    51
  • Issue
    3
  • fYear
    2015
  • fDate
    2 5 2015
  • Firstpage
    253
  • Lastpage
    255
  • Abstract
    A blind spectrum sensing method based on the goodness-of-fit (GoF) test using the likelihood ratio is studied. In the proposed method, the χ2 distribution is used for GoF testing. The performance of the method is evaluated through Monte Carlo simulations. It is shown that the proposed spectrum sensing method outperforms the GoF test using Anderson-Darling and the conventional energy detection tests in the case of a low signal-to-noise ratio.
  • Keywords
    Monte Carlo methods; radio spectrum management; signal detection; χ2 distribution; GoF testing; Monte Carlo simulations; blind spectrum sensing method; energy detection; likelihood ratio goodness-of-fit test; signal-to-noise ratio;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el.2014.3579
  • Filename
    7029785
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=49319