• DocumentCode
    3310974
  • Title

    Automatic Identification Method of Link4A

  • Author

    Bin-gang Zhu ; Shi-rui Peng ; Yuan-wei Su ; Tang, Tang

  • Author_Institution
    Dept. of Graduation Dept., AFRA, Wuhan
  • Volume
    2
  • fYear
    2009
  • fDate
    25-26 April 2009
  • Firstpage
    239
  • Lastpage
    243
  • Abstract
    Accurate identification of Link4A is the premise of performing effective jamming. Based on instantaneous information identification algorithm, three key features, including two new ones, are extracted which are used to identify 2FSK modulation signal: the maximum value of the spectral power density of the normalized-centered instantaneous amplitude gammamax, the mean of the absolute value of instantaneous frequency offset deltaf and the standard deviation of the absolute value of instantaneous frequency offset . Simulation result indicates that the success rate reach 91.8% at SNR=-10 dB about 2FSK modulation signal. Then estimating the code-width of the 2FSK modulation signal, and comparing it with the real Link4A parameter, simulation result also indicates that the success rate reach 100% at SNR=5 dB. So, this mean has a high success rate under low SNR condition, and it would have a favorable using foreground.
  • Keywords
    aircraft communication; frequency shift keying; jamming; parameter estimation; 2FSK modulation signal; Link4A; automatic identification method; information identification algorithm; instantaneous frequency offset; jamming; normalized-centered instantaneous amplitude; spectral power density; standard deviation; Aircraft; Amplitude modulation; Data mining; Digital modulation; Frequency estimation; Frequency modulation; Frequency shift keying; Jamming; Modulation coding; Signal processing; Link4A; automatic identification; key feature;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networks Security, Wireless Communications and Trusted Computing, 2009. NSWCTC '09. International Conference on
  • Conference_Location
    Wuhan, Hubei
  • Print_ISBN
    978-1-4244-4223-2
  • Type

    conf

  • DOI
    10.1109/NSWCTC.2009.393
  • Filename
    4908449