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Impact of Atmospheric Drag Coefficient Solution Strategies on LEO Satellite Orbit Determination and Prediction Using Regional Ground-Based High-Precision Ranging Data
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Yunke ZHANG1, 2, Xinhao LIAO1, 2, *, Chengpan TANG2, Kai LI2, Shanshi ZHOU2
Journal of Geodesy and Geodynamics | 2026, 46(4) : 497 - 502
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Journal of Geodesy and Geodynamics | 2026, 46(4): 497-502
Impact of Atmospheric Drag Coefficient Solution Strategies on LEO Satellite Orbit Determination and Prediction Using Regional Ground-Based High-Precision Ranging Data
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Yunke ZHANG1, 2, Xinhao LIAO1, 2, *, Chengpan TANG2, Kai LI2, Shanshi ZHOU2
Affiliations
  • 1 School of Physical Science and Technology, ShanghaiTech University, Shanghai 201210, China
  • 2 Shanghai Astronomical Observatory, CAS, Shanghai 200030, China
Published: 2026-04-15 doi: 10.14075/j.jgg.2025.06.195
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We investigate orbit determination and prediction for low Earth orbit (LEO) satellites using high-precision ranging data from a sparse regional network of ground stations. Aiming at applications with limited observational data, three strategies for resolving the atmospheric drag coefficient (CD) are proposed: 1) Unconstrained estimation using the long-arc CD solution as the initial value. 2) Using the long-arc CD solution as the initial value, and the accuracy factor of long-arc CD solution as the accuracy constraint. 3) Directly using the long-arc CD solution as a fixed value. The results show that the mean orbit determination residuals for all three strategies are below 0.17 m. Compared to the precise orbit, the 3D orbit determination accuracy for all three methods is better than 10 m. For the 24-hour predicted arc, the unconstrained solution achieves a RMS better than 55 m, while both the constrained and fully constrained solutions achieve an accuracy better than 15 m. This study verifies the feasibility of independent LEO satellite orbit determination using ground-based high-precision ranging data.

low Earth orbit satellites  /  ground-based ranging  /  orbit determination  /  orbit prediction  /  atmospheric drag coefficient
张芸珂, 廖新浩, 唐成盼, 李凯, 周善石. 大气阻力系数解算策略对低轨卫星区域地基高精度测距定轨及预报的影响. 大地测量与地球动力学, 2026 , 46 (4) : 497 -502 . DOI: 10.14075/j.jgg.2025.06.195
Yunke ZHANG, Xinhao LIAO, Chengpan TANG, Kai LI, Shanshi ZHOU. Impact of Atmospheric Drag Coefficient Solution Strategies on LEO Satellite Orbit Determination and Prediction Using Regional Ground-Based High-Precision Ranging Data[J]. Journal of Geodesy and Geodynamics, 2026 , 46 (4) : 497 -502 . DOI: 10.14075/j.jgg.2025.06.195
Year 2026 volume 46 Issue 4
35
14
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doi: 10.14075/j.jgg.2025.06.195
  • Receive Date:2025-06-09
  • Online Date:2026-10-29
  • Published:2026-04-15
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  • Received:2025-06-09
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    1 School of Physical Science and Technology, ShanghaiTech University, Shanghai 201210, China
    2 Shanghai Astronomical Observatory, CAS, Shanghai 200030, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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