• DocumentCode
    239549
  • Title

    Boost the efficiency of spectrum sensing using synchronized random demodulation

  • Author

    Ning Fu ; Pingfan Song ; Peizhuo Liu ; Jingchao Zhang ; Xiyuan Peng ; Gang Wang

  • Author_Institution
    Dept. of Autom. Test & Control, Harbin Inst. of Technol., Harbin, China
  • fYear
    2014
  • fDate
    20-23 Aug. 2014
  • Firstpage
    525
  • Lastpage
    530
  • Abstract
    In many applications, performing spectrum sensing after sampling at the Nyquist rate is inefficient because the signals of interest contain only a small number of significant frequencies relative to the band limit, although the locations of the frequencies may not be known a priori. For this type of signal, we focus on improve Random Demodulation, a novel technology inspired by Compressed Sensing theory to achieve sub-Nyquist sampling and boosting the efficiency of spectrum sensing. So, Synchronized Random Demodulation technology is proposed and a corresponding system is designed in this paper. It is noticed that two key elements play crucial role in this sensing system: synchronization among signals and accurate system impulse response. Then, a specialized synchronization mechanism and a cross-correlation method for measuring SRD system impulse response is developed to improve the system performance. Experiments demonstrate that the sampling rates for successful spectrum sensing and signal recovery can be as low as 4% of Nyquist rate.
  • Keywords
    compressed sensing; demodulation; signal detection; synchronisation; Nyquist rate; SRD system impulse response; compressed sensing theory; cross-correlation method; signal recovery; spectrum sensing; subNyquist boosting; subNyquist sampling; synchronization mechanism; synchronized random demodulation technology; system impulse response; Demodulation; Digital signal processing; Fourier transforms; Frequency-domain analysis; Sensors; Synchronization; Vectors; compressed sensing; random demodulation; signal recovery; spectrum sensing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Signal Processing (DSP), 2014 19th International Conference on
  • Conference_Location
    Hong Kong
  • Type

    conf

  • DOI
    10.1109/ICDSP.2014.6900721
  • Filename
    6900721