Research Article
Application of Artificial Intelligence in the Planning of Navigation Satellite in Orbit Reconstruction Tasks
@INPROCEEDINGS{10.1007/978-3-030-90196-7_19, author={Lingling Chen and Zhimei Yang and Wenwen Zhao}, title={Application of Artificial Intelligence in the Planning of Navigation Satellite in Orbit Reconstruction Tasks}, proceedings={Artificial Intelligence for Communications and Networks. Third EAI International Conference, AICON 2021, Xining, China, October 23--24, 2021, Proceedings, Part I}, proceedings_a={AICON}, year={2021}, month={11}, keywords={Artificial intelligence On-orbit reconstruction Mission planning}, doi={10.1007/978-3-030-90196-7_19} }- Lingling Chen
Zhimei Yang
Wenwen Zhao
Year: 2021
Application of Artificial Intelligence in the Planning of Navigation Satellite in Orbit Reconstruction Tasks
AICON
Springer
DOI: 10.1007/978-3-030-90196-7_19
Abstract
The basic system of Beidou-3 has been completed and started to provide global services so far. This system is composed of 24MEO+3GEO+3IGSO, and 80% of products have refactoring functions. In view of the potential load function upgrade needs in the future, as well as the reliability upgrade and maintenance of the system, there is a need for the reconstruction of the entire network of satellites in orbit. Analyze the characteristics of the three types of satellites and break through the traditional reconstruction schemes. Most of them are reconstructed through the ground measurement and control and operation control channels. The speed is low and the timeliness is poor. A new reconstruction idea is proposed, and the IGSO satellite Ka high-speed ground link is used to transfer the program. Make a bet, and then distribute the reconstructed data through the laser inter-satellite link. According to the Beidou satellite's full-satellite redundant backup feature, the three types of satellite mission characteristics are learned through artificial intelligence, and the redundant satellites are met while meeting the positioning requirements. Performing reconstruction upgrades, this method can greatly improve the timeliness of reconstruction and shorten the impact on the system's service performance interruption.
