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Proceedings of 2009 International Workshop on Information Security and Application (IWISA 2009)

Qingdao, China, November 21-22, 2009

Editors: Feng Gao and Xijun Zhu

AP Catalog Number: AP-PROC-CS-09CN004

ISBN: 978-952-5726-06-0

Page(s): 299-302

The Research on the Application of the Support Vector Machine on the Wireless Frequency Hopping Networks Separation

Rui Wang and Yi XU

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The paper proposes a kind of the separation method of the wireless frequency hopping (abbr. FH) networks. When there is no or little prior information on samples the method including the unsupervised and the semi-supervised SVM method is superior to K-means clustering algorithm in integrated performance. By testing the method using FH signals from various wireless networks we get somewhat satisfactory result. It does some help to wireless networks management and military communication.

Index Terms

Frequency Hopping, Networks Separation, SVM, Supervised

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