|
|||||
|
|
| 基于核函数支持向量机的雷达辐射源识别 | |
| 引用本文： | 关欣,郭强,张政超,赵静,翟鸿君.基于核函数支持向量机的雷达辐射源识别[J].弹箭与制导学报,2011,31(4):188-191. |
| 作者姓名： | 关欣 郭强 张政超 赵静 翟鸿君 |
| 作者单位： | 1. 海军航空工程学院信息融合技术研究所,山东烟台264001;国防科学技术大学电子科学与工程学院,长沙410073 2. 海军航空工程学院信息融合技术研究所,山东烟台,264001 3. 3 63880部队,河南洛阳471000; 4. 4海军航空工程学院基础部,山东烟台,264001 |
| 基金项目： | 国家自然科学基金(60672140); 全国优秀博士论文作者专项资金(200443)资助 |
| 摘 要： | 文中针对雷达辐射源信号环境复杂导致的正确识别率较低的问题,提出了基于支持向量机理论的雷达辐射源识别方法,并构建了基于多种核函数支持向量机的雷达辐射源分类器。通过在不同噪声环境下进行仿真实验,证明了支持向量机理论在雷达辐射源识别中的有效性,并比较了多种核函数支持向量机的识别效果。 |
| 关 键 词： | 雷达辐射源识别 核函数 支持向量机 |
Radar Emitter Signal Recognition Based on Kernel Function SVM |
|
| GUAN Xin,GUO Qiang,ZHANG Zhengchao,ZHAO Jing,ZHAI Hongjun.Radar Emitter Signal Recognition Based on Kernel Function SVM[J].Journal of Projectiles Rockets Missiles and Guidance,2011,31(4):188-191. | |
| Authors: | GUAN Xin GUO Qiang ZHANG Zhengchao ZHAO Jing ZHAI Hongjun |
| Affiliation: | GUAN Xin 1,2,GUO Qiang 1,ZHANG Zhengchao3,ZHAO Jing1,ZHAI Hongjun4(1 Research Institute Information Fusion,Naval Aeronautical and Astronautical University,Shandong Yantai 264001,China,2 School of Electronic Science and Engineering,National University of Defense Technology,Changsha 410073,3 No.63880 Unit,Henan Luoyang 471000,4 Department of Basic Sciences,China) |
| Abstract: | To deal with the problem of wrong radar emitter recognition caused by noise environment,the radar emitter signal recognition was presented based on SVM,and the classifier was constructed for radar emitter recognition based on several kinds of kernel functions SVM.Simulation experiment in different noise environment shows that SVM theory is effective in solving radar emitter recognition,and the recognition results of different kernel functions SVM were compared. |
| Keywords: | radar emitter recognition kernel function SVM |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |