• DocumentCode
    3486329
  • Title

    Statistical methods based modulation recognition algorithm

  • Author

    Zorlu, Ercüment ; Guler, Neslihan Yildirim ; Olcer, Ibrahim

  • Author_Institution
    TUBITAK-ULUSAL Elektron. ve Kriptoloji Arastirma Enstitusu, Gebze, Turkey
  • fYear
    2004
  • fDate
    28-30 April 2004
  • Firstpage
    403
  • Lastpage
    406
  • Abstract
    New arrangements are studied to increase the performance of the automatic modulation recognition algorithm proposed by Elsayed-Elsayed Azzouz and Asoke Kumar Nandi based on statistical methods (see "Automatic Modulation Recognition of Communication Signals", Kluwer Academic Publishers, 1996; Signal Processing, vol.46, p.211-22, 1995). To increase the performance, the algorithm proposed by Azzouz and Nandi is first arranged in a new form that recognizes between analog and digital modulation. For this purpose, a new algorithm that differentiates analog and digital modulation is developed. Then, in order to increase the performance of the algorithm recognizing analog modulation, a new method is proposed. It is observed that the performance of the algorithm increases after these arrangements.
  • Keywords
    modulation; signal processing; statistical analysis; analog modulation; automatic modulation recognition algorithm; digital modulation; statistical methods; Amplitude modulation; Amplitude shift keying; Digital modulation; Frequency shift keying; Performance evaluation; Phase shift keying; Statistical analysis; Testing; Universal Serial Bus;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications Conference, 2004. Proceedings of the IEEE 12th
  • Print_ISBN
    0-7803-8318-4
  • Type

    conf

  • DOI
    10.1109/SIU.2004.1338548
  • Filename
    1338548