Individual Transmitter Identification Based on Fractal Feature of Surrounding-Line Integral Bispectrum
HE Yong-lian · Telecommunication Engineering · 2014
Bispectrum which can be used for transmitter identification reflects the fine features of signals,but it will lead to the work of computing the complex matching templates,adding the complexity of classifier and influencing the recognition efficiency when applied to the transmitter identification directly. To solve this problem,a novel approach treating the fractal features of surrounding- line integral bispectrum as the feature parameters of transmitters is proposed. Surrounding- line integral bispectrum is obtained by the bispectrum estimator,and the complexity of its wave shape can be quantitatively described by box dimension and information dimension which are selected as the eigenvector. Then the support vector machine(SVM) is applied for individual transmitter identification. Finally,the 2FSK signals sent by two different transmitters are analyzed,and the results show that the recognition accuracy is over 94. 29% when signal-to- noise ratio(SNR) is more than 7dB,which proves that the introduced method is effective.