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

Author

Huang, Jiasheng ; Zhou, Yajian ; Sun, Na ; Hu, Zhengming

Author_Institution

Key Lab. of network & Inf. attack & defense Technol. ofMOE, Beijing Univ. of Posts & Telecommun., Beijing, China

fYear

2010

fDate

13-14 Oct. 2010

Firstpage

160

Lastpage

163

Abstract

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.

Keywords

radio transmitters; spread spectrum communication; support vector machines; telecommunication computing; wavelet transforms; 2G wavelet kernel; FH-SS modulation; SVM; frequency-hopping spread spectrum signal modulation; second generation wavelet kernels; support vector machine; transmitters classification; Kernel; Modulation; Radio transmitters; Signal to noise ratio; Support vector machines; Wavelet transforms; First Generation Wavelet kernel (1G Wavelet kernel); Second Generation Wavelet kernel (2G Wavelet kernel); classification rate; frequency-hopping spread spectrum (FH-SS); support vector machine (SVM);

fLanguage

English

Publisher

ieee

Conference_Titel

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

Conference_Location

Nanning

Print_ISBN

978-1-4244-8649-6

Electronic_ISBN

978-0-7695-4260-7

Type

conf

DOI

10.1109/ICCIIS.2010.39

Filename

5629218