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

摘要：

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.

关键词： Frequency Hopping Networks Separation SVM Supervised

作者: Rui Wang Yi XU

作者单位: 304 Stafroom, Electronics Engineering Institute, HeFei, P.R. China

会议类型: 国际会议

会议名称: 2009 International Workshop on Information Security and Application(2009 信息安全与应用国际研讨会)

会议地点: 青岛

会议语种:英文

页码: 299-302

在线出版日期: 2009-11-21（万方平台首次上网日期，不代表论文的发表时间）