• DocumentCode
    3726975
  • Title

    Detection and clasiffication of OFDM/QAM and OFDM/OQAM signals based on cyclostationary features

  • Author

    Selena Vukoti?;Desimir Vu?i?

  • Author_Institution
    Ra?unarski fakultet, Knez Mihailova, 11000 Beograd, Srbija
  • fYear
    2015
  • Firstpage
    232
  • Lastpage
    235
  • Abstract
    This paper describes a joint detection and classification of OFDM/QAM and OFDM/OQAM signals using their cyclic frequency domain profiles of spectral correlation. Detection is threshold-based, and corresponding HMMs of these signals have been used for their classification. Some performances of the considered signal detection and classification, obtained using software simulation models, are shown, as well.
  • Keywords
    "Hidden Markov models","Signal to noise ratio","Dynamic spectrum access","OFDM","Frequency division multiplexing","Cognitive radio","Sensors"
  • Publisher
    ieee
  • Conference_Titel
    Telecommunications Forum Telfor (TELFOR), 2015 23rd
  • Type

    conf

  • DOI
    10.1109/TELFOR.2015.7377455
  • Filename
    7377455