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Signal classification method based on data mining formulti-mode radar 被引量:9

Signal classification method based on data mining for multi-mode radar
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摘要 For the multi-mode radar working in the modern electronicbattlefield, different working states of one single radar areprone to being classified as multiple emitters when adoptingtraditional classification methods to process intercepted signals,which has a negative effect on signal classification. A classificationmethod based on spatial data mining is presented to address theabove challenge. Inspired by the idea of spatial data mining, theclassification method applies nuclear field to depicting the distributioninformation of pulse samples in feature space, and digs out thehidden cluster information by analyzing distribution characteristics.In addition, a membership-degree criterion to quantify the correlationamong all classes is established, which ensures classificationaccuracy of signal samples. Numerical experiments show that thepresented method can effectively prevent different working statesof multi-mode emitter from being classified as several emitters,and achieve higher classification accuracy. For the multi-mode radar working in the modern electronicbattlefield, different working states of one single radar areprone to being classified as multiple emitters when adoptingtraditional classification methods to process intercepted signals,which has a negative effect on signal classification. A classificationmethod based on spatial data mining is presented to address theabove challenge. Inspired by the idea of spatial data mining, theclassification method applies nuclear field to depicting the distributioninformation of pulse samples in feature space, and digs out thehidden cluster information by analyzing distribution characteristics.In addition, a membership-degree criterion to quantify the correlationamong all classes is established, which ensures classificationaccuracy of signal samples. Numerical experiments show that thepresented method can effectively prevent different working statesof multi-mode emitter from being classified as several emitters,and achieve higher classification accuracy.
作者 qiang guo pulong nan jian wan Qiang Guo Pulong Nan Jian Wan(College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China)
出处 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2016年第5期1010-1017,共8页 系统工程与电子技术(英文版)
基金 supported by the National Natural Science Foundation of China(61371172) the International S&T Cooperation Program of China(2015DFR10220) the Ocean Engineering Project of National Key Laboratory Foundation(1213) the Fundamental Research Funds for the Central Universities(HEUCF1608)
关键词 multi-mode radar signal classification data mining nuclear field cloud model membership. multi-mode radar, signal classification data mining,nuclear field, cloud model, membership.
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