基于经验模态分解特征的无线电引信抗扫频式干扰方法  

Anti Frequency Sweeping Jamming Method for Radio Fuze Based on Empirical Mode Decomposition(EMD)Features

作　　者：刘冰[1] 郝新红[1,2] 段俊法 钱鹏飞 蔡鑫 LIU Bing;HAO Xinhong;DUAN Junfa;QIAN Pengfei;CAI Xin(Key Laboratory of Mechatronic Dynamic Control,Beijing Institute of Technology,Beijing 100081,China;Tangshan Research Institute,Beijing Institute of Technology,Tangshan,Hebei 063000,China;School of Mechanical Engineering,North China University of Water Resources and Electric Power,Zhengzhou,He'nan 450000,China)

机构地区：[1]北京理工大学机电动态控制重点实验室,北京100081 [2]北京理工大学唐山研究院,河北唐山063000 [3]华北水利水电大学机械学院,河南郑州450000

出　　处：《北京理工大学学报》2023年第12期1290-1297,共8页Transactions of Beijing Institute of Technology

基　　金：国家自然科学基金项目资助(61871414);国家部委基础加强项目(2019-JCJQ-ZD-324)。

摘　　要：针对目前调频无线电引信在复杂电磁战场环境中对抗扫频式干扰能够力弱的问题,提出一种基于经验模态分解(empirical mode decomposition,EMD)特征的无线电调频引信对抗扫频干扰的方法.对基于目标和扫频干扰作用下的调频无线电引信检波端输出信号进行EMD分解,得到10层本征模态函数(intrinsic mode function,IMF)分量,提取每层IMF分量中本征模态函数能量占比、能量聚集度和Renyi熵特征,并利用主成分分析算法对于特征进行降维,保证累积解释差异在95%以上,以降维后的特征矩阵作为支持向量机的输入对目标和扫频式干扰信号进行分类识别.实测数据结果表明,所提方法能够有效对目标和扫频式干扰信号进行分类识别,分类识别精度可以达到98.06%±0.0038,目标检测率达到96.65%±0.0037,虚警率为3.35%±0.0037.To slove the current problem of the weakness of radio FM fuses against frequency-sweeping jamming signals in the complex electromagnetic battlefield environment,a method of radio FM fuse against frequencysweeping jamming signals based on empirical mode decomposition(EMD)features was proposed.Based on the target and the output signal of the frequency-sweeping FM radio fuse detection,EMD decomposition was used to obtain 10 layers of intrinsic mode function(IMF)components,the energy share of the intrinsic mode function,energy aggregation and Renyi entropy features in each layer of IMF components were extracted,and principal components analysis(PCA)algorithm was used for feature dimensionality reduction to ensure that the cumulative explanation of the difference was over 95%,and the reduced feature matrix was used as the input of the support vector machine(SVM)to classify and identify the target and sweeping interference signals.The experimental results show that the proposed method can effectively classify and identify targets and sweeping interfering signals,and the classification accuracy can reach 98.06%±0.0038,the target detection rate can reach 96.65%±0.0037,and the false alarm rate is 3.35%±0.0037.

关 键 词：电子战 无线电引信 经验模态分解 抗干扰 目标识别 

分 类 号：TJ434.1[兵器科学与技术—火炮、自动武器与弹药工程]