Identification of radio transmitters fingerprint based on curve fitting
Lianfen Huang, Xiongpeng Wu, Caidan Zhao, Minghui Gao · 2013
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.