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2023 | OriginalPaper | Chapter

Fragmentation Technology of Spacecraft TT&C Resources Under Multi-constraint Condition

Authors : Jun Liu, Jun Wei, Yuan An, Yaruixi Gao, Feng Zhang, Ruolan Zhang, Qifeng Sun

Published in: Signal and Information Processing, Networking and Computers

Publisher: Springer Nature Singapore

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Abstract

With the development of the world space industry, the number of spacecrafts in the future will increase much faster than the ground-based TT&C equipment and space-based TT&C capacity. In the case of SpaceX's Starlink Constellation program, all 4409 satellites are expected to function by 2024, eventually forming a supergiant Internet constellation of about 42,000 satellites. Therefore, with the rapid improvement of spacecraft technology and quantity, there is an urgent demand for space TT&C capability. How to speed up the reasonable allocation of TT&C resources, make efficient use of existing TT&C resources, and delve the potential of TT&C resources deployment is a practical and innovative mission. Based on China’s many years of space TT&C practice and the practical problems in ground-based space TT&C capability, this paper puts forward a fragmentation of TT&C resources reorganization algorithm (FRRA) under multi-constraint conditions and studies the technology of deep excavation of the ground TT&C capability of spacecraft. The results of this paper are of practical engineering significance to the existing mode and utilization efficiency of space TT&C in China.

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Metadata
Title
Fragmentation Technology of Spacecraft TT&C Resources Under Multi-constraint Condition
Authors
Jun Liu
Jun Wei
Yuan An
Yaruixi Gao
Feng Zhang
Ruolan Zhang
Qifeng Sun
Copyright Year
2023
Publisher
Springer Nature Singapore
DOI
https://doi.org/10.1007/978-981-19-3387-5_21