A Modified Weighting Scheme for the Automatic Tasker of Space Surveillance Network

Junling Wang, Xiaoyu Zheng, Jiakang Shen, Peng Lv

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

The increasing number of space objects rapidly consumes the limited resources of space surveillance system. Improving the observation efficiency of sensors can alleviate the strain of the Space Surveillance Network (SSN). In this paper, we provide a modified weighting scheme for observation scheduling of automatic tasker of SSN. We analyze the influence of observation geometry, observation time and observation distribution in scheduling time span on orbit determination accuracy based on the covariance of relative orbit uncertainty in satellite orbit determination, and then provide a weighting scheme of the SSN automated tasker for SSN to improve the observation efficiency. Finally, the feasibility of this weighting scheme under limited resources is simulated and compared with the reported ones.

Original languageEnglish
Title of host publicationICSP 2022 - 2022 16th IEEE International Conference on Signal Processing, Proceedings
EditorsBaozong Yuan, Qiuqi Ruan, Shikui Wei, Gaoyun An
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages524-528
Number of pages5
ISBN (Electronic)9781665460569
DOIs
Publication statusPublished - 2022
Event16th IEEE International Conference on Signal Processing, ICSP 2022 - Beijing, China
Duration: 21 Oct 202224 Oct 2022

Publication series

NameInternational Conference on Signal Processing Proceedings, ICSP
Volume2022-October

Conference

Conference16th IEEE International Conference on Signal Processing, ICSP 2022
Country/TerritoryChina
CityBeijing
Period21/10/2224/10/22

Keywords

  • Space Surveillance Network
  • automated tasker
  • observation efficiency of sensors
  • weighting scheme

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