基于神经网络的欺骗式干扰类型识别  

Neural network based identification of deception jamming

作　　者：范伟[1] 唐斌[1] 

机构地区：[1]电子科技大学电子工程学院,四川成都610054

出　　处：《雷达与对抗》2007年第2期43-45,共3页Radar & ECM

基　　金："十一五"军事电子预研项目资助

摘　　要：针对几种典型的欺骗式干扰信号,采用选择双谱作为分类的特征参数,并利用径向基神经网络分类器对其进行了识别。仿真结果表明,该方法在较低的干噪比(JNR)下仍具有较高的识别概率,能较好地实现对干扰信号的分类。A new method is presented for the identification of deception jamming. Through this method, the selected bispectra with the maximum interclass separability is extracted as the feature vector of signals. Then the neural network is used to identify the types of jamming signals. Simulations results show that the method is effective even for low JNR.

关 键 词：雷达 欺骗式干扰 神经网络 

分 类 号：TN972.3[电子电信—信号与信息处理]