电讯技术2025，Vol.65Issue(4)：624-633,10.DOI:10.20079/j.issn.1001-893x.240204003
深度学习在航天遥测信息传输中的应用综述
Application of Deep Learning in Aerospace Telemetry Information Transmission:an Overview
史玉峰 1成亚勇 1田之俊 1孙大元 1王一哲1
作者信息
- 1. 中国电子科技集团公司第五十四研究所,石家庄 050081
- 折叠
摘要
Abstract
In the field of aerospace telemetry communication,the application of deep learning technology is increasingly gaining attention.The authors review the application of deep learning technology in addressing the challenges faced in space telemetry information transmission,such as large data volume,high communication real-time requirements,susceptibility to interference,and significant path loss.By analyzing the progress of deep learning in optimizing telemetry data transmission volume,improving transmission efficiency,ensuring transmission security,and reducing transmission errors,the authors reveal the potential of deep learning technology in enhancing the performance of space telemetry information transmission.Additionally,the challenges faced by deep learning technology in space telemetry information transmission are discussed and corresponding research ideas are proposed,aiming to provide theoretical support and practical guidance for the construction of intelligent space telemetry information transmission systems.关键词
航天测控/航天遥测信息传输/深度学习/机器学习Key words
aerospace TT&C/aerospace telemetry information transmission/deep learning/machine learning分类
电子信息工程引用本文复制引用
史玉峰,成亚勇,田之俊,孙大元,王一哲..深度学习在航天遥测信息传输中的应用综述[J].电讯技术,2025,65(4):624-633,10.
