| 基于支持向量机的雷达欺骗性干扰类型识别 |
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| 引用本文： | 张红昌,阮怀林.基于支持向量机的雷达欺骗性干扰类型识别[J].火控雷达技术,2009,38(3):17-21. |
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| 作者姓名： | 张红昌 阮怀林 |
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| 作者单位： | 1. 电子工程学院,合肥,230037;96113部队,大连,116105
2. 电子工程学院,合肥,230037 |
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| 摘 要： | 本文把雷达目标回波信号和欺骗干扰信号纳入到统一框架下进行分析，提取了基于原子分解理论的特征及时延和频偏匹配度特征。最后利用支持向量机（Support Vector Machine，SVM）分类器，对雷达接收信号进行了分类识别。仿真结果验证了该方法不仅可以有效检测欺骗干扰信号的存在，还可以识别欺骗干扰信号的类型。
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| 关 键 词： | 欺骗干扰 支持向量机 特征提取 原子分解 |
A Radar Deception Jamming Identification Based on Support Vector Machine |
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| Zhang Hongchang,Ruan Huailin.A Radar Deception Jamming Identification Based on Support Vector Machine[J].Fire Control Radar Technology,2009,38(3):17-21. |
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| Authors: | Zhang Hongchang Ruan Huailin |
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| Affiliation: | 1.Electronic Engineering Institute;Hefei 230037;2.The Unit 96113 of PLA;Dalian 116105 |
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| Abstract: | Radar target echo and deception jamming signal are analyzed in an uniform framework,features and time delay based on atomic decomposition as well as frequency-offset match feature are extracted.Signals received by the radar are classified and identified by using of support vector machine(SVM) classifier.Simulation results verified that this approach can not only effectively detect deception jamming,but can also identify type of deception jamming signal. |
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| Keywords: | deception jamming support vector machine （SVM） feature extraction atomic decomposition |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
