SVC ＆K-Means and Type-Entropy Based De-Interleaving/ Recognition System of Radar Pulses

摘要：

First, the paper shows a novel de-interleaving method based on Support Vector Clustering (SVC) and K-Means clustering. Secondly, it presents a notion of type-entropy. And the recognition technology based on type-entropy is introduced into de-interleaving system so that a novel joint deinterleaving/recognition system of radar pulse sequence is to be presented. The simulation experiment result shows that the system can sort efficiently radar signals in the high density and complex pulses environment.

关键词： SVC K-Means type-entropy recognition deinterleaving

作者: Qiang Guo Xingzhou Zhang Zheng Li

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

会议类型: 国际会议

会议名称: 2006 IEEE International Conference on Information Acquisition

会议地点: 山东威海

会议语种:英文

页码: 742-747

在线出版日期: 2006-08-20（万方平台首次上网日期，不代表论文的发表时间）