Journal of Beijing University of Posts and Telecommunications

  • EI核心期刊

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2008, Vol. 31 ›› Issue (2): 132-136.doi: 10.13190/jbupt.200802.132.103

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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

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

CLC Number: