• DocumentCode
    2625571
  • Title

    Research on Modulation Recognition of the Communication Signal Based on Statistical Model

  • Author

    Yuanzeng, Cheng ; Hailong, Zhang ; Yu, Wang

  • Author_Institution
    Beijing Inst. of Technol., Beijing, China
  • Volume
    3
  • fYear
    2011
  • fDate
    6-7 Jan. 2011
  • Firstpage
    46
  • Lastpage
    50
  • Abstract
    Modulation recognition is the key problems in noncooperative communication, communication detection and communication surveillance. Non-cooperate communication is commonly used in civilian and military applications, where it is required to monitor the activities of communication signals in space and intercept the signal information content with little prior knowledge. The paper describes the principium of the automatic modulation recognition of communicational signal based on statistical model, then analyses automatic modulation recognition of analog communicational signals and shows a method to achieve.
  • Keywords
    demodulation; feature extraction; modulation; signal classification; statistical analysis; analog communicational signals; automatic modulation recognition; communication detection; communication surveillance; noncooperative communication; statistical model; Amplitude modulation; Character recognition; Demodulation; Feature extraction; Frequency modulation; Phase modulation; Feature Extraction; Modulation Recognition; Signal Modulation; Statistical Model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Measuring Technology and Mechatronics Automation (ICMTMA), 2011 Third International Conference on
  • Conference_Location
    Shangshai
  • Print_ISBN
    978-1-4244-9010-3
  • Type

    conf

  • DOI
    10.1109/ICMTMA.2011.583
  • Filename
    5721420