• DocumentCode
    2532693
  • Title

    Spectrum Sensing for Cognitive Ultra-wideband Based on Fractal Dimensions

  • Author

    Chen, Xiaobo ; Chen, Hong ; Chen, Yin

  • Author_Institution
    Electron. Eng. Inst. of Hefei, Hefei, China
  • fYear
    2011
  • fDate
    19-22 Oct. 2011
  • Firstpage
    363
  • Lastpage
    367
  • Abstract
    Band the merits of cognitive ultra-wideband (CUWB) and fractal dimensions together, this paper presented a spectrum sensing method employing the difference of fractal box dimension and information dimension between noise and primary signals through taking double threshold strategy. For the purpose of meeting the need of spectrum sensing in CUWB, this method selects information dimension as the recognition characteristic parameter to recognize signal modulation mode. Simulation results show that the spectrum sensing method based on fractal dimensions is not sensitive to the noise and has a good sensing performance with low computational complexity, and it is able to realize modulation recognition effectively, as a whole, the method is fit for CUWB system.
  • Keywords
    cognitive radio; computational complexity; fractals; modulation; ultra wideband communication; CUWB system; UWB communication; cognitive ultra-wideband; computational complexity; fractal box dimension; fractal dimensions; information dimension; modulation recognition; signal modulation mode; spectrum sensing method; ultra-wideband communication; Cognitive radio; Fractals; Frequency modulation; Sensors; Signal to noise ratio; box dimension; cognitive ultra-wideband (CUWB); information dimension; spectrum sensing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Chaos-Fractals Theories and Applications (IWCFTA), 2011 Fourth International Workshop on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4577-1798-7
  • Type

    conf

  • DOI
    10.1109/IWCFTA.2011.35
  • Filename
    6093555