基于信息熵的灵巧噪声干扰识别方法  

Method of Smart Noise Jamming Recognition Based on Shannon Entropy

作　　者：李杰然 LI Jieran(No.91404 Troops of PLA,Qinhuangdao 066200)

机构地区：[1]91404部队,秦皇岛066200

出　　处：《舰船电子工程》2021年第12期32-35,共4页Ship Electronic Engineering

摘　　要：针对灵巧噪声干扰识别问题,以卷积调制、数字多时延和间歇采样转发三种干扰信号为研究对象,提出了一种将信息熵作为特征参数的干扰识别方法。采用蒙特卡罗仿真实验的方法,通过支持向量机算法进行分类识别验证。结果表明,在信噪比大于0dB时,干扰识别准确率超过95%。Aiming at recognition of smart noise jamming,a method based on shannon entropy as a characteristic parameter is proposed.There are kinds of smart noise jamming as the study object,which are the digital multi-sample delay smart noise jam⁃ming,the convolution modulation smart noise jamming and the intermittent sampling repeater smart noise jamming.The support vec⁃tor machine is used to classify the jamming and target.The simulation results show that the accuracy of jamming recognition is more than 95%when the signal-to-noise ratio is greater than 0dB.

关 键 词：灵巧噪声干扰 信息熵 干扰识别 支持向量机 

分 类 号：TN972[电子电信—信号与信息处理]