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基于深度学习的卫星通信抗干扰方法
引用本文:刘佩璋,杨博,刘江春,崔丽丽,丛子林.基于深度学习的卫星通信抗干扰方法[J].电子测试,2020(1):86-87.
作者姓名:刘佩璋  杨博  刘江春  崔丽丽  丛子林
作者单位:航天恒星科技有限公司
基金项目:装发领域基金(61402090106)
摘    要:卫星通信作为当前地面通信网络的补充通信,可以为用户提供随时随地的便携通信服务,针对卫星日趋严重的通信网络干扰,本文提出了一种基于深度学习与干扰感知相结合的人工智能技术实现对卫星通信干扰的自主感知。通过对干扰信号的自主感知和分析,提升通信网络的抗干扰能力。

关 键 词:卫星通信  干扰感知  深度学习

Interference awareness method based on deep learning for satellite communication
Liu Peizhang,Yang Bo,Liu Jiangchun,Cui Lili,Cong Zilin.Interference awareness method based on deep learning for satellite communication[J].Electronic Test,2020(1):86-87.
Authors:Liu Peizhang  Yang Bo  Liu Jiangchun  Cui Lili  Cong Zilin
Affiliation:(Space Star Technology Co.,Ltd,Beijing,100086)
Abstract:As a supplement to the current ground communication network,satellite communication can provide users with portable communication services anytime and anywhere.In view of the increasingly serious communication network interference of satellites,this paper proposes an artificial intelligence technology based on the combination of deep learning and interference perception to realize the autonomous perception of satellite communication interference.Through the self-perception and analysis of interference signals,the anti-interference ability of communication network is improved.
Keywords:satellite communication  Interference awareness  deep learning
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