• DocumentCode
    2382044
  • Title

    Parallel multi-channel detection: A practical solution to energy detection of heterogeneous wideband spectrum

  • Author

    Olabiyi, O. ; Annamalai, A.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Prairie View A&M Univ., Prairie View, TX, USA
  • fYear
    2012
  • fDate
    21-22 May 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This article proposes a solution that can extend the capability of traditional energy detector to wideband sensing with improved performance. The solution involves the use of parallel detection circuitry with each tuned to different frequencies. The decision of each detection circuit can then be used to create a spectral map of the entire spectrum. This introduces some resolution component and improved sensitivity based on the number of parallel circuits and bandwidth of each detection circuit. Since the bandwidth of the incumbent signal is generally not known a priori, there is possibility that it spans across multiple detectors. The detection of such wideband signal can be achieved by either data or decision fusion of the results of each narrowband detector. We show that the use of parallel multichannel detection can greatly enhance the detection of wideband signal compared to averaging while improving the resolution and sensitivity of energy detection of wideband spectrum. Further performance improvement can be achieved through the use of diversity reception on each narrow band detectors. Numerical results have been shown for representative cases and careful review of previous works reveals that these have never been considered in literature.
  • Keywords
    cognitive radio; diversity reception; decision fusion; diversity reception; energy detector; heterogeneous wideband spectrum energy detection; narrow band detectors; narrowband detector; parallel circuits; parallel detection circuitry; parallel multi-channel detection; spectral map; wideband sensing; wideband signal detection; Detectors; Diversity reception; Fading; Niobium; Wideband; Cognitive Radio; Data and decision fusion; Energy Detectors; Heterogeneous Wideband Spectrum;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sarnoff Symposium (SARNOFF), 2012 35th IEEE
  • Conference_Location
    Newark, NJ
  • Print_ISBN
    978-1-4673-1465-7
  • Type

    conf

  • DOI
    10.1109/SARNOF.2012.6222719
  • Filename
    6222719