• DocumentCode
    2588826
  • Title

    Feature Detection Based on Multiple Cyclic Frequencies in Cognitive Radios

  • Author

    Xiangzhen, Liu ; Xuping, Zhai

  • Author_Institution
    Key Lab. of Special Fiber Opt. & Opt. Access Networks, Shanghai Univ., Shanghai
  • fYear
    2008
  • fDate
    10-12 Sept. 2008
  • Firstpage
    290
  • Lastpage
    293
  • Abstract
    Signal feature detection is one of spectrum sensing methods in cognitive radios. It can detect primary user reliably in low SNR regime. In this paper, an asymptotical chi2 test is extended to spectrum sensing in cognitive radios, and a joint detection scheme based on multiple cyclic frequencies is proposed. Simulation results show the improved performance of the proposed scheme in the low SNR regime.
  • Keywords
    cognitive radio; signal detection; cognitive radios; joint detection scheme; multiple cyclic frequencies; signal feature detection; spectrum sensing; Chromium; Cognitive radio; Computer vision; Frequency; Random processes; Receivers; Signal detection; Signal to noise ratio; Spread spectrum radar; Testing; Cognitive radio; cyclic feature; detection; spectrum sensing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Microwave Conference, 2008 China-Japan Joint
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-3821-1
  • Type

    conf

  • DOI
    10.1109/CJMW.2008.4772428
  • Filename
    4772428
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2588826