A Novel Sorting Method of Radar Signals Based on Support Vector Clustering and Delaminating Coupling

摘要：

Modern electronic warfare faces complex and dense pulses environments, which brings a severe challenge to radar signal sorting. A novel sorting method is presented based on delaminating coupling and Support Vector Clustering (SVC) in this paper. The 3-dimension feature information is composed of direction of arrival, radio frequency and pulse width in this method which sorts radar pulse sequences for the very first time by employing Support Vector Clustering and delaminating coupling. The experiment result shows that the method can sort efficiently radar signals in the complex pulses environment and the performance is superior to mat of K-Means clustering sorting.

作者: Qiang Guo Xingzhou Zhang Zheng Li

作者单位: College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, Southwest China Research Institute of Electronic Equipment, Chengdu 610036, China

会议类型: 国际会议

会议名称: Firth IEEE International Conference on Cognitive Informatics(第五届认知信息国际会议)

会议地点: 北京

会议语种:英文

页码: 839-844

在线出版日期: 2006-07-17（万方平台首次上网日期，不代表论文的发表时间）