• DocumentCode
    2875128
  • Title

    Time-Angle Spectrum Sensing Based on Sliding Window MUSIC Algorithm

  • Author

    Du Liping ; Liu Feifei ; Chen Yueyun

  • Author_Institution
    Dept. of Commun., Univ. of Sci. & Technol. Beijing, Beijing, China
  • fYear
    2012
  • fDate
    2-4 Nov. 2012
  • Firstpage
    644
  • Lastpage
    647
  • Abstract
    Spectrum sensing is one of the key issues in cognitive radio. To explore all dimensions of the spectrum space, a sliding window MUSIC based spectrum sensing method is proposed to offer the spectrum holes in time-angle dimension. Simulation results show that the proposed method has better detection performance than conventional energy detection as well as high estimation accuracy.
  • Keywords
    cognitive radio; radio spectrum management; signal classification; signal detection; cognitive radio; sliding window MUSIC algorithm; spectrum holes; spectrum space; time-angle dimension; time-angle spectrum sensing; Direction of arrival estimation; Estimation; Multiple signal classification; Receiving antennas; Sensors; Signal to noise ratio; MUSIC algorithm; Spectrum sensing; time-angle dimension;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Information Networking and Security (MINES), 2012 Fourth International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4673-3093-0
  • Type

    conf

  • DOI
    10.1109/MINES.2012.238
  • Filename
    6405782
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2875128