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

• Published in: 2010 International Conference on Communications and Intelligence Information Security pp. 160 - 163
• Main Authors: Jiasheng Huang, Yajian Zhou, Na Sun, Zhengming Hu
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.10.2010
• Subjects: classification rate; First Generation Wavelet kernel (1G Wavelet kernel); frequency-hopping spread spectrum (FH-SS); Kernel; Modulation; Radio transmitters; Second Generation Wavelet kernel (2G Wavelet kernel); Signal to noise ratio; support vector machine (SVM); Support vector machines; Wavelet transforms
• ISBN: 1424486491; 9781424486496
• DOI: 10.1109/ICCIIS.2010.39

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.