Telemetry data-based spacecraft space traffic warning algorithm research

With the explosive growth of global spacecraft in orbit, the frequency of space security events is getting higher and higher, in order to guarantee the traffic safety of spacecraft in orbit, a more accurate and efficient space traffic warning method is needed as a support. In this paper, a spacecraft space traffic warning algorithm based on telemetry data is proposed to address the problems of long cycle time and high false alarm rate in the current routinely applied on-orbit space traffic warning methods. The algorithm can effectively control the warning error and improve the accuracy and efficiency of the warning by effectively combining the orbit maneuvering strategy data of spacecraft autonomous planning and the space target observation data of autonomous detection and sensing on the basis of making full use of the increasingly perfect external situational awareness and orbit determination information. Finally, the practicality analysis of the method is completed by simulation verification, combining the propulsion capability of the spacecraft itself and the detection capability of the sensing load.

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Publication Details

Journal
IET conference proceedings.
Published
2025-01-01
DOI
https://doi.org/10.1049/icp.2024.2923
Primary Topic
Big Data Technologies and Applications
Type
article
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article

Telemetry data-based spacecraft space traffic warning algorithm research

Xi Chen, Shuo Wang, Ping Yang, Haopeng Zhang
IET conference proceedings.
Big Data Technologies and Applications
article

Telemetry data-based spacecraft space traffic warning algorithm research

Xi Chen, Shuo Wang, Ping Yang, Haopeng Zhang
article en

Abstract

With the explosive growth of global spacecraft in orbit, the frequency of space security events is getting higher and higher, in order to guarantee the traffic safety of spacecraft in orbit, a more accurate and efficient space traffic warning method is needed as a support. In this paper, a spacecraft space traffic warning algorithm based on telemetry data is proposed to address the problems of long cycle time and high false alarm rate in the current routinely applied on-orbit space traffic warning methods. The algorithm can effectively control the warning error and improve the accuracy and efficiency of the warning by effectively combining the orbit maneuvering strategy data of spacecraft autonomous planning and the space target observation data of autonomous detection and sensing on the basis of making full use of the increasingly perfect external situational awareness and orbit determination information. Finally, the practicality analysis of the method is completed by simulation verification, combining the propulsion capability of the spacecraft itself and the detection capability of the sensing load.

IET conference proceedings.Vol. 2024(9)
China Academy of Space Technology (CN)
Openalex Percentile: Top 100%
Big Data Technologies and Applications
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Telemetry data-based spacecraft space traffic warning algorithm research — Xi Chen, Shuo Wang, et al. · IET conference proceedings. (2025) | TGRS Research Map | TGRS