• DocumentCode
    3013280
  • Title

    GLRT based cooperative spectrum sensing with location information

  • Author

    Han, Ning ; Li, Hongbin ; Fang, Jun

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Stevens Inst. of Technol., Hoboken, NJ, USA
  • fYear
    2010
  • fDate
    7-10 Nov. 2010
  • Firstpage
    496
  • Lastpage
    500
  • Abstract
    In this paper, we address the problem of cooperatively detecting a primary user with unknown transmit power among multiple cognitive radio (CR) users with their location information available at the CR base station. A generalized likelihood ratio test (GLRT) is developed at the CR base station to first estimate the transmit power of the primary user and then detect the primary user signal. The maximum likelihood (ML) estimate of the unknown transmit power is discussed in details in order to provide guidelines for the design of the cooperative detector. Performance verification of the ML estimate of the unknown transmit power is provided. Meanwhile, asymptotic performance analysis for the proposed GLRT is also presented. Simulation results show that the proposed detector exhibits better performance than conventional techniques in terms of detection probability with limited observations.
  • Keywords
    cognitive radio; maximum likelihood estimation; CR base station; asymptotic performance analysis; cognitive radio users; cooperative detector; cooperative spectrum sensing; detection probability; generalized likelihood ratio test; location information; maximum likelihood estimate; primary user detection; Base stations; Cognitive radio; Detectors; Maximum likelihood estimation; Propagation losses; Signal to noise ratio; Cognitive radio; cooperative spectrum sensing; generalized likelihood ratio test; maximum likelihood estimate;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers (ASILOMAR), 2010 Conference Record of the Forty Fourth Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA
  • ISSN
    1058-6393
  • Print_ISBN
    978-1-4244-9722-5
  • Type

    conf

  • DOI
    10.1109/ACSSC.2010.5757608
  • Filename
    5757608