• DocumentCode
    3061659
  • Title

    Cooperative AMC schemes using cumulants with hard and soft decision fusion

  • Author

    Markovic, Goran B. ; Dukic, Miroslav L.

  • Author_Institution
    Sch. of Electr. Eng., Univ. of Belgrade, Belgrade, Serbia
  • fYear
    2012
  • fDate
    20-22 Nov. 2012
  • Firstpage
    400
  • Lastpage
    403
  • Abstract
    Application of cooperative multiple sensors for distributed signal sensing and modulation classification offers significant improvement of classification performance, compared to using single sensor, especially in the presence of multipath fading. In this paper, several cooperative AMC schemes with hard and soft decision fusion were analyzed. Classification performances of cooperative AMC schemes are investigated and evaluated in terms of average probability of correct classification, through Monte-Carlo simulations.
  • Keywords
    Monte Carlo methods; cooperative communication; fading channels; Monte Carlo simulation; average probability; cooperative AMC scheme; cooperative multiple sensors; distributed signal sensing; modulation classification; multipath fading; Classification algorithms; Estimation; Fading; Modulation; Sensors; Signal to noise ratio; Wireless sensor networks; Automatic modulation classification (AMC); cognitive radio; cooperation; cumulants; wireless sensor networks (WSN);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Telecommunications Forum (TELFOR), 2012 20th
  • Conference_Location
    Belgrade
  • Print_ISBN
    978-1-4673-2983-5
  • Type

    conf

  • DOI
    10.1109/TELFOR.2012.6419231
  • Filename
    6419231