基于JEM的雷达窄带目标识别方法研究

Research on Recognition of Narrowband Radar Targets Based on JEM

文章针对实测数据进行基于喷气发动机调制(JEM)的雷达窄带目标识别技术研究。在提取JEM特征的基础上,从目标回波中提取目标运动特征、归一化方差、主旁瓣比、环境熵等特征进行特征融合,提出一种采用支持向量机(SVM)算法的基于JEM的多特征融合雷达窄带目标分类技术。仿真计算结果显示,使用该算法对实测窄带雷达回波数据进行分类,可以很好地对民航和直升机、无人机与汽车进行分类识别。

Based on the principle of JEM,this paper used experimental data to study the target recognition technology in narrow band radar.After extracting JEM features,target＇s motion features,the normalized variance,mainlobe-to-sidelobe,environmental entropy and other features were extracted from target echo and fused.Then,a multi-features fusion Target Recognition technology based on the JEM and SVM algorithm to classify narrowband radar experiment data,civil aviation,helicopters,unmanned aerial vehicles and cars can be meritoriously classified.