Individual RFI classification based on chaotic characteristics

摘要：

This paper provides an efficient approach to classify individual radio-frequency interference in high-frequency radars. By employing empirical mode decomposition as signal pre-process method, stable chaotic characteristics of individual radio-frequency interference are extracted. Based on these stable characteristics and treelike assembly classifier, individual radio-frequency interference can be effectively classified. Detailed real data experiments are finally provided to demonstrate the effectiveness of the proposed method.

关键词： individual RFI classification chaotic characteristics EMD treelike assembly classifier

作者: Rongbing Chen Lichang Qian JiaXu Wenfeng Sun Yingning Peng

作者单位: Dept. Of Electronic Engineering, Tsinghua Univ., Beijing 100084, China Radar Academy of Airforce, Wuhan 430019, China

会议类型: 国际会议

会议名称: 2011 IEEE CIE International Conference on Radar(2011年IEEE国际雷达会议RADAR 2011)

会议地点: 成都

会议语种:英文

页码: 242-245

在线出版日期: 2011-10-24（万方平台首次上网日期，不代表论文的发表时间）