• DocumentCode
    247492
  • Title

    Spectrum sensing using adaptive threshold based energy detection for OFDM signals

  • Author

    Nan Wang ; Yue Gao ; Cuthbert, Laurie

  • Author_Institution
    Queen Mary Univ. of London, London, UK
  • fYear
    2014
  • fDate
    19-21 Nov. 2014
  • Firstpage
    359
  • Lastpage
    363
  • Abstract
    Spectrum sensing is one of the key technologies to realize dynamic spectrum access in cognitive radio systems, especially for the next generation mobile systems. In this paper, the OFDM signal is sensed using a wide-band cognitive radio system. A new adaptive threshold algorithm is proposed for the Discrete Wavelet Packet Transform (DWPT) and Welch´s energy detection methods to illustrate the trade-off between detection probability and false alarm probability. The proposed adaptive threshold algorithm in both DWPT and Welch´s method demonstrates that the target performance requirements for the sensing algorithm equation for today can be achieved at -18dB, that is a very low signal level for sensing.
  • Keywords
    OFDM modulation; cognitive radio; discrete wavelet transforms; mobile radio; next generation networks; radio spectrum management; OFDM signals; Welch´s energy detection; adaptive threshold based energy detection; cognitive radio systems; detection probability; discrete wavelet packet transform; dynamic spectrum access; false alarm probability; next generation mobile systems; spectrum sensing; wide-band cognitive radio system; Cognitive radio; Detectors; Digital video broadcasting; OFDM; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Systems (ICCS), 2014 IEEE International Conference on
  • Conference_Location
    Macau
  • Type

    conf

  • DOI
    10.1109/ICCS.2014.7024825
  • Filename
    7024825