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
Link To Document :
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