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Review Article | Open Access

Research Advancements in Key Technologies for Space-Based Situational Awareness

Beichao WangShuang Li ( )Jinzhen MuXiaolong HaoWenshan ZhuJiaqian Hu
Advanced Space Technology Laboratory, College of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
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Abstract

The space environment has become highly congested due to the increasing space debris, seriously threatening the safety of orbiting spacecraft. Space-based situational awareness, as a comprehensive capability of threat knowledge, analysis, and decision-making, is of significant importance to ensure space security and maintain normal order. Various space situational awareness systems have been designed and launched. Data acquisition, target recognition, and monitoring constituting key technologies make major contributions, and various advanced algorithms are explored as technical supports. However, comprehensive reviews of these technologies and specific algorithms rarely emerge. It disadvantages the future development of space situational awareness. Therefore, this paper further reviews and analyzes research advancements in key technologies for space situational awareness, emphasizing target recognition and monitoring. Many mature and emerging methods are presented for these technologies while discussing application advantages and limitations. Specially, the research prospects of multiagent and synergetic constellation technologies are expected for future situational awareness. This paper indicates the future directions of the key technologies, aiming to provide references for space-based situational awareness to realize space sustainability.

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Space: Science & Technology
Article number: 9802793

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Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

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Cite this article:
Wang B, Li S, Mu J, et al. Research Advancements in Key Technologies for Space-Based Situational Awareness. Space: Science & Technology, 2022, 2: 9802793. https://doi.org/10.34133/2022/9802793

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Received: 02 April 2022
Accepted: 31 May 2022
Published: 18 June 2022
© 2022 Beichao Wang et al. Exclusive Licensee Beijing Institute of Technology Press.

Distributed under a Creative Commons Attribution License (CC BY 4.0).