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Autonomous space target tracking through state estimation techniques via ground-based passive optical telescope
Torteeka, Peerapong1,2; Gao, Peng-qi1; Shen, Ming1; Guo, Xiao-zhong1; Yang, Da-tao1; Yu, Huan-huan1; Zhou, Wei-ping1,2; Tong, Liu1,2; Zhao, You1
刊名ADVANCES IN SPACE RESEARCH
2019
卷号63期号:1页码:461-475
关键词Telescopes Astrometry techniques Image processing State estimation techniques Atmospheric effects
ISSN号0273-1177
DOI10.1016/j.asr.2018.09.012
英文摘要The presence of operational satellites or small-body space debris is a challenge for autonomous ground-based space object observation. Although most space objects exceeding 10 cm in diameter have been cataloged, the position of each space object (based on six orbital parameters) remains important and should be updated periodically, as the Earth's orbital perturbations cause disturbances. Modern ground-based passive optical telescopes equipped with complementary metal-oxide semiconductors have become widely used in astrometry engineering, being combined with image processing techniques for target signal enhancement. However, the detection and tracking performance of this equipment when employed with image processing techniques primarily depends on the size and brightness of the space target, which appears on the monitor screen under variable background interference conditions. A small and dim target has a highly sensitive tracking error compared to a bright target. Moreover, most image processing techniques for target signal enhancement require large computational power and memory; therefore, automatic tracking of a space target is difficult. The present work investigates autonomous space target detection and tracking to achieve high-sensitivity detection and improved tracking ability for non-Gaussian and dynamic backgrounds with a simple system mechanism and computational efficiency. We develop an improved particle filter (PF) using the ensemble Kalman filter (KF) for track-before-detect (TBD) frameworks, by modifying and optimizing the computational formula for our non-linear measurement function. We call this extended version the "ensemble Kalman PF-TBD (EnKPF-TBD)." Three sequential astronomical image datasets taken by the Asia-Pacific Ground-Based Optical Space Objects Observation System (APOSOS) telescope under different conditions are used to evaluate three proposed TBD baseline frameworks. Given an optimal random sample size, the EnKPF-TBD exhibits superior performance to PF-TBD and threshold-based unscented KF with two-dimensional peak search (2dPS). The EnKPF-TBD scheme achieves satisfactory performance for all variable background interference conditions, especially for a small and dim space target, in terms of tracking accuracy and computational efficiency. (C) 2018 COSPAR. Published by Elsevier Ltd. All rights reserved.
资助项目World Academy of Sciences (TWAS) ; Chinese Academy of Sciences (CAS) ; Asia-Pacific Space Cooperation Organization (APSCO) ; National Research and Development Projects for Key Scientific Instruments[ZDYZ2013-2] ; Bureau of International Cooperation, CAS[181811KYSB20170018]
WOS关键词PARTICLE FILTER ; DEBRIS ; ALGORITHM
WOS研究方向Astronomy & Astrophysics ; Geology ; Meteorology & Atmospheric Sciences
语种英语
出版者ELSEVIER SCI LTD
WOS记录号WOS:000457510000035
资助机构World Academy of Sciences (TWAS) ; World Academy of Sciences (TWAS) ; Chinese Academy of Sciences (CAS) ; Chinese Academy of Sciences (CAS) ; Asia-Pacific Space Cooperation Organization (APSCO) ; Asia-Pacific Space Cooperation Organization (APSCO) ; National Research and Development Projects for Key Scientific Instruments ; National Research and Development Projects for Key Scientific Instruments ; Bureau of International Cooperation, CAS ; Bureau of International Cooperation, CAS ; World Academy of Sciences (TWAS) ; World Academy of Sciences (TWAS) ; Chinese Academy of Sciences (CAS) ; Chinese Academy of Sciences (CAS) ; Asia-Pacific Space Cooperation Organization (APSCO) ; Asia-Pacific Space Cooperation Organization (APSCO) ; National Research and Development Projects for Key Scientific Instruments ; National Research and Development Projects for Key Scientific Instruments ; Bureau of International Cooperation, CAS ; Bureau of International Cooperation, CAS ; World Academy of Sciences (TWAS) ; World Academy of Sciences (TWAS) ; Chinese Academy of Sciences (CAS) ; Chinese Academy of Sciences (CAS) ; Asia-Pacific Space Cooperation Organization (APSCO) ; Asia-Pacific Space Cooperation Organization (APSCO) ; National Research and Development Projects for Key Scientific Instruments ; National Research and Development Projects for Key Scientific Instruments ; Bureau of International Cooperation, CAS ; Bureau of International Cooperation, CAS ; World Academy of Sciences (TWAS) ; World Academy of Sciences (TWAS) ; Chinese Academy of Sciences (CAS) ; Chinese Academy of Sciences (CAS) ; Asia-Pacific Space Cooperation Organization (APSCO) ; Asia-Pacific Space Cooperation Organization (APSCO) ; National Research and Development Projects for Key Scientific Instruments ; National Research and Development Projects for Key Scientific Instruments ; Bureau of International Cooperation, CAS ; Bureau of International Cooperation, CAS
内容类型期刊论文
源URL[http://ir.bao.ac.cn/handle/114a11/24933]  
专题中国科学院国家天文台
通讯作者Zhao, You
作者单位1.Chinese Acad Sci NAOC, Natl Astron Observ, 20B Dutun Rd, Beijing 100020, Peoples R China
2.UCAS, 80 Zhongguanchun East Rd, Beijing 100191, Peoples R China
推荐引用方式
GB/T 7714
Torteeka, Peerapong,Gao, Peng-qi,Shen, Ming,et al. Autonomous space target tracking through state estimation techniques via ground-based passive optical telescope[J]. ADVANCES IN SPACE RESEARCH,2019,63(1):461-475.
APA Torteeka, Peerapong.,Gao, Peng-qi.,Shen, Ming.,Guo, Xiao-zhong.,Yang, Da-tao.,...&Zhao, You.(2019).Autonomous space target tracking through state estimation techniques via ground-based passive optical telescope.ADVANCES IN SPACE RESEARCH,63(1),461-475.
MLA Torteeka, Peerapong,et al."Autonomous space target tracking through state estimation techniques via ground-based passive optical telescope".ADVANCES IN SPACE RESEARCH 63.1(2019):461-475.
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