Paper
3 April 2024 Research and application of satellite communication rainfall attenuation management system
Author Affiliations +
Proceedings Volume 13078, Second International Conference on Informatics, Networking, and Computing (ICINC 2023); 1307806 (2024) https://doi.org/10.1117/12.3024691
Event: Second International Conference on Informatics, Networking, and Computing (ICINC 2023), 2023, Wuhan, China
Abstract
Under the current climate change background, extreme weather events occur frequently, and meteorological factors will directly affect the quality of satellite communication links. In order to deal with the consequent risks, it is urgent to provide a satellite communication rainfall attenuation management system that can provide accurate monitoring and trend prediction. This will help to send a warning in advance, so that satellite stations can take timely response measures. Through the research on rainfall attenuation monitoring and analysis of satellite communication signals in Beijing West Satellite Station, a rainfall attenuation prediction model is established based on local historical and real-time rainfall data, the impact of rainfall attenuation on the channel in Ku band satellite communication is analyzed, and the solutions to effectively deal with the adverse impact of rainfall attenuation on Ku band satellite communication are proposed, Comprehensively improve the communication guarantee capability of satellite stations, and better provide stable and smooth satellite communication services for emergency communication.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Han Zhang, Tong Lin, Xiaoshuang Gu, Yingxu Wang, Zuo Chen, Tao Wei, and Qi Liu "Research and application of satellite communication rainfall attenuation management system", Proc. SPIE 13078, Second International Conference on Informatics, Networking, and Computing (ICINC 2023), 1307806 (3 April 2024); https://doi.org/10.1117/12.3024691
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KEYWORDS
Rain

Signal attenuation

Satellite communications

Satellites

Signal to noise ratio

Data modeling

Telecommunications

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