Identification of radio transmitters fingerprint based on curve fitting

Recently, radio individual identification draws the attention of related research institutions because of its great significance in various fields. In this paper, transient envelope feature is applied to the identification of radio transmitters. A novel approach is proposed to extract the transient envelope feature of radio transmitters based on fitting. According to the characteristics of the radio signal, the transient envelope obtained from the signal by complex analytical wavelet transform, is fitted by Gaussian function and sinusoidal function. The fitting coefficients regarded as feature vector are used for individual identification. The results of data analysis indicate that both Gaussian fitting and sinusoidal fitting have a good recognition performance of identifying different radio transmitters.

[1]  Peng Ning,et al.  MAC Design of Uncoordinated FH-Based Collaborative Broadcast , 2012, IEEE Wireless Communications Letters.

[2]  Liu Chong-chun,et al.  Extracting Vibration Signal Envelopes based on Morlet Wavelet Transform , 2000 .

[3]  Zhou Yi-yu.  A Specific Emitter Identification Method Based on Self-Excitation Oscillator Model , 2008 .

[4]  Yang Xiao-niu.  Extraction of the transient characteristics of the communication radiating source and individual indentification , 2009 .

[5]  Hou Tie-shuang.  Detection of signal envelope based on the complex analytical wavelet transform , 2011 .

[6]  Jong-Soo Seo,et al.  A Novel Transmitter Identification Technique for use in Distributed 8VSB DTV system , 2006, 2006 IEEE 63rd Vehicular Technology Conference.

[7]  Li Jian-dong,et al.  Study of transmitter individual identification based on bispectra , 2007 .

[8]  Caidan Zhao,et al.  Transient fingerprint feature extraction for WLAN cards based on polynomial fitting , 2011, 2011 6th International Conference on Computer Science & Education (ICCSE).

[9]  K. J. Ray Liu,et al.  Indirect Reciprocity Security Game for Large-Scale Wireless Networks , 2012, IEEE Transactions on Information Forensics and Security.

[10]  Harold H. Szu,et al.  Novel identification of intercepted signals from unknown radio transmitters , 1995, Defense, Security, and Sensing.

[11]  Michel Barbeau,et al.  DETECTION OF TRANSIENT IN RADIO FREQUENCY FINGERPRINTING USING SIGNAL PHASE , 2003 .