北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 2008, Vol. 31 ›› Issue (2): 132-136.doi: 10.13190/jbupt.200802.132.103

• 研究报告 • 上一篇    下一篇

分段聚类在雷达信号分选中的应用

国 强1,2,王常虹1,郭立民2,李 峥3,祝正威3,华云3   

  1. 1. 哈尔滨工业大学 空间控制与惯性技术研究中心, 哈尔滨 150001; 2. 哈尔滨工程大学 信息与通信工程学院, 哈尔滨 150001; 3. 电子对抗国防科技重点实验室, 成都 610036
  • 收稿日期:2006-12-07 修回日期:1900-01-01 出版日期:2008-04-28 发布日期:2008-04-28
  • 通讯作者: 国 强

Application of Segment Clustering in Radar Signal Sorting

GUO Qiang1,2, WANG Chang-hong1,GUO Li-min2,
LI Zheng3, ZHU Zheng-wei3, HUA Yun3   

  1. 1. Space Control and Inertial Technology Research Center, Harbin Institute of Technology, Harbin 150001, China;
    2. College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China;
    3. National Key Laboratory of Electronic Warfare, Chengdu 610036, China
  • Received:2006-12-07 Revised:1900-01-01 Online:2008-04-28 Published:2008-04-28
  • Contact: GUO Qiang

摘要:

分析了雷达信号分选中的容差问题,现代电子战所面临的越来越复杂密集的脉冲环境,使容差问题成为制约现有多参数信号分选体制分选效率的重要因素。根据统计学习理论的思想,提出了一种基于支持向量聚类和级联互耦的分段聚类雷达信号分选方法,该方法克服了容差问题对雷达信号分选的影响。通过仿真实验验证,对于高脉冲密度环境和复杂的信号形式,这种分选方法是有效的。

关键词: 支持向量聚类, 级联互耦, 信号分选, 容差

Abstract:

The problem of tolerance of radar signal sorting is analyzed in modern electronic warfare that faces more complex and dense pulses environments. It is becoming a vital factor to improve the efficiency of sorting of the conventional multi-parameters signal sorting system. According to the idea of statistics learning theory, a segment clustering radar signal sorting method is presented based on cascade coupling and support vector clustering (SVC). It prevents tolerance from affecting radar signal sorting. Experiments show that the sorting method presented is good for raising the efficiency to overcome the tolerance of radar signal sorting.

Key words: support vector clustering, cascade coupling, signal sorting, tolerance

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