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

摘要：

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.

关键词： support vector machine (SVM) Second Generation Wavelet kernel (2G Wavelet kernel) frequencyhopping spread spectrum (FH-SS) irst Generation Wavelet kernel (1G Wavelet kernel) classification rate

作者: Jiasheng Huang Yajian Zhou Na Sun Zhengming Hu

作者单位: Key Laboratory of network and information attack & defense technology of MOE, Beijing University of Posts and Telecommunications ，Beijing 100876 ，China

会议类型: 国际会议

会议名称: 2010 International Conference on Communications and Intelligence Information Security(2010年国际信息与智能安全学术会议 ICCIIS2010)

会议地点: 南宁

会议语种:英文

页码: 160-163

在线出版日期: 2010-10-13（万方平台首次上网日期，不代表论文的发表时间）