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Identification of Frequency-Hopping Spread Spectrum Signals Using SVMs with Second Generation Wavelet Kernels

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4 Author(s)
Jiasheng Huang ; Key Lab. of network & Inf. attack & defense Technol. ofMOE, Beijing Univ. of Posts & Telecommun., Beijing, China ; Yajian Zhou ; Na Sun ; Zhengming Hu

This paper presents a method of using support vector machine (SVM) with Second Generation Wavelet kernel (2G Wavelet kernel) for classification of individual transmitters working in frequency-hopping spread spectrum (FH-SS) modulation. Simulation results show that this method can significantly improve the efficiency of the identification in comparison with those based on First Generation Wavelet kernel (1G Wavelet kernel). Meanwhile, it can also achieve a satisfactory classification rate. Furthermore, the relationship between the classification rate and SNR is also discussed.

Published in:

Communications and Intelligence Information Security (ICCIIS), 2010 International Conference on

Date of Conference:

13-14 Oct. 2010