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

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.