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基于深度卷积神经网络的多节点协同干扰识别方法 沈钧仁.pdf

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基于深度卷积神经网络的多节点协同干扰识别方法 沈钧仁.pdf

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基于深度卷积神经网络的多节点协同干扰识别方法 沈钧仁.pdf

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文档介绍:无线电通信技术
Radio Communications Technology
ISSN 1003-3114,CN 13-1099/TN
的干扰正确识别率,且基于硬判决的方法较基于中心判决的方法有更好的性能。
关键词:干扰识别;多节点协同;深度卷积神经网络;数据融合
中图分类号:TN975 文献标志码:A
Multi-node Cooperative Jamming Recognition Method Based on Deep
Convolutional Neural Network
SHEN Junren1,2, LI Yusheng1*, SHI Yuxin1,2, AN Kang1
(1. 63rd Research Institute, National University of Defense Technology, Nanjing 210007, China;
of Electronic Science, National University of Defense Technology, Changsha 410000, China)
Abstract: Communication anti-jamming is the core issue of wireless communication survivability in complex electromagnetic
environment, while jamming recognition is the significant pre-stage of the communication anti-jamming process. At present, single-
node method is mostly used for jamming recognition and easy to be affected by the channel environment, resulting performance deg-
radation. In order to solve the problem of low jamming correct recognition rate of single-node method in wireless communication net-
works under the condition of low jamming-to-signal ratio, a multi-node cooperative jammin