• DocumentCode
    255439
  • Title

    An efficient blind spectrum sensing scheme for OFDM based CR in multipath environment

  • Author

    Pisal, V.V. ; Somani, S.B.

  • Author_Institution
    Dept. of Electron. & Telecommun., MIT Coll. of Eng., Pune, India
  • fYear
    2014
  • fDate
    11-13 Dec. 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Cognitive radio technology is an emerging solution to avoid spectrum underutilization. Cognitive radio obtains and adjusts its parameters according to its surrounding environment. Cognitive radio involves the task of spectrum sensing, spectrum sharing, spectrum management etc. Spectrum sensing is first and most important task in case of cognitive radio. Due to major challenge of detecting signals in low signal to noise ratio environment, spectrum sensing is important task. In this paper an algorithm based on the property of OFDM signals i.e. cyclic prefix correlation coefficient (CPCC) is given. This algorithm performs well for environment without multipath. So, by taking multipath environment into consideration, multipath based GLRT algorithm is also obtained. Further performance improvement is achieved by combining both these algorithms.
  • Keywords
    OFDM modulation; cognitive radio; radio spectrum management; signal detection; CPCC; OFDM based CR; OFDM signals; blind spectrum sensing scheme; cognitive radio technology; cyclic prefix correlation coefficient; multipath based GLRT algorithm; multipath environment; signal detection; signal to noise ratio environment; spectrum management; spectrum sharing; spectrum underutilization; Cognitive radio; Correlation; Covariance matrices; Maximum likelihood estimation; Noise; OFDM; Sensors; Cognitive radio; GLRT; OFDM; cyclic prefix; spectrum sensing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    India Conference (INDICON), 2014 Annual IEEE
  • Conference_Location
    Pune
  • Print_ISBN
    978-1-4799-5362-2
  • Type

    conf

  • DOI
    10.1109/INDICON.2014.7030470
  • Filename
    7030470