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基于Wpt_6和Cr_1的雷达辐射源信号分选
引用本文:杨志祥,朱元清,徐光华,刘彦龙.基于Wpt_6和Cr_1的雷达辐射源信号分选[J].微计算机信息,2010(13).
作者姓名:杨志祥  朱元清  徐光华  刘彦龙
作者单位:空军雷达学院研究生管理大队;93498部队;空军雷达学院信息对抗系;驻中国电子科技集团公司第38所军代室;
基金项目:武器装备预研基金项目(项目名称、编号不公开)
摘    要:针对现有方法分选准确率不高和对噪声敏感的问题,提出一种新的雷达辐射源信号分选算法。对接收到的未知雷达辐射源信号,首先提取其第六维小波包特征(Wpt6)和第一维相像系数(Cr1),将两者作为分类依据,并利用Kohonen神经网络实现对未知雷达辐射源的分选。计算机仿真结果表明,新方法较传统的分选方法可以获得更高的准确率。

关 键 词:信号分选  Wpt6  Cr1  Kohonen  

Sorting Radar Emitter Signal Based on Wpt_6 and Cr_1
YANG Zhi-xiang,ZHU Yuan-qing,XU Guang-hua,YANG Zhi-xiang LIU Yan-long.Sorting Radar Emitter Signal Based on Wpt_6 and Cr_1[J].Control & Automation,2010(13).
Authors:YANG Zhi-xiang  ZHU Yuan-qing  XU Guang-hua  YANG Zhi-xiang LIU Yan-long
Affiliation:(Department of Graduate Management,AFAR,Wuhan 430019,China) YANG Zhi-xiang (Department of Information Countermeasures,China) ZHU Yuan-qing (The Military Representative Office in China Electronic Technology Group Corporation No. 38 Research Institute,Hefei 230031,China) XU Guang-hua (93498 unit of PLA Shijiazhuang 050000,China) YANG Zhi-xiang LIU Yan-long
Abstract:Sorting rate of common method is not high and it is sensitive to the signal noise ratio (SNR), in order to solve these prob- lems, a novel sorting algorithm for radar emitter is proposed. The Wpt6 and Cr1 is extracted firstly and used as the sorting basis when the unknown radar emitter signal is received, then the radar emitter sorting is realized by the Kohonen neural network. Simula- tion result shows that this new method can get higher correct rate than traditional method.
Keywords:signal sorting  Wpt6  Cr1  Kohonen  
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