基于核函数支持向量机的雷达辐射源识别  

Radar Emitter Signal Recognition Based on Kernel Function SVM

作　　者：关欣[1,2] 郭强[1] 张政超 赵静[1] 翟鸿君[4] 

机构地区：[1]海军航空工程学院信息融合技术研究所 [2]国防科学技术大学电子科学与工程学院 [3]63880部队 [4]海军航空工程学院基础部

出　　处：《弹箭与制导学报》2011年第4期188-191,共4页Journal of Projectiles,Rockets,Missiles and Guidance

基　　金：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。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.

关 键 词：雷达辐射源识别 核函数 支持向量机 

分 类 号：TN953[电子电信—信号与信息处理]