典型文献
Jamming Recognition Based on Feature Fusion and Convolutional Neural Network
文献摘要：
The complicated electromagnetic environment of the BeiDou satellites introduces vari-ous types of external jamming to communication links,in which recognition of jamming signals with uncertainties is essential. In this work,the jamming recognition framework proposed consists of fea-ture fusion and a convolutional neural network (CNN). Firstly,the recognition inputs are obtained by prepossessing procedure,in which the 1-D power spectrum and 2-D time-frequency image are ac-cessed through the Welch algorithm and short-time Fourier transform (STFT),respectively. Then,the 1D-CNN and residual neural network (ResNet) are introduced to extract the deep features of the two prepossessing inputs,respectively. Finally,the two deep features are concatenated for the following three fully connected layers and output the jamming signal classification results through the softmax layer. Results show the proposed method could reduce the impacts of potential feature loss,therefore improving the generalization ability on dealing with uncertainties.
文献关键词：
中图分类号：
作者姓名：
Sitian Liu;Chunli Zhu
作者机构：
School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China
文献出处：
引用格式：
[1]Sitian Liu;Chunli Zhu-.Jamming Recognition Based on Feature Fusion and Convolutional Neural Network)[J].北京理工大学学报（英文版）,2022(02):169-177
A类：
prepossessing
B类：
Jamming,Recognition,Based,Feature,Fusion,Convolutional,Neural,Network,complicated,electromagnetic,environment,BeiDou,satellites,introduces,vari,ous,types,external,jamming,communication,links,which,recognition,signals,uncertainties,essential,In,this,framework,proposed,consists,fusion,convolutional,neural,network,Firstly,inputs,are,obtained,by,procedure,power,spectrum,frequency,image,cessed,through,Welch,algorithm,short,Fourier,transform,STFT,respectively,Then,1D,residual,ResNet,introduced,extract,deep,features,Finally,concatenated,following,three,fully,connected,layers,output,classification,results,softmax,Results,show,method,could,reduce,impacts,potential,loss,therefore,improving,generalization,ability,dealing
AB值：
0.625616
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