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Dynamic Parameter Simplification for Filter-Based Real-Time Precise Orbit Determination of Low Earth Orbit Satellites
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Wen LAI1, 2, Guanwen HUANG1, 3, 4, *, Shichao XIE1, 5, Le WANG1, 4, 6, Haonan SHE1
Journal of Geodesy and Geodynamics | 2026, 46(7) : 798 - 807
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Journal of Geodesy and Geodynamics | 2026, 46(7): 798-807
Dynamic Parameter Simplification for Filter-Based Real-Time Precise Orbit Determination of Low Earth Orbit Satellites
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Wen LAI1, 2, Guanwen HUANG1, 3, 4, *, Shichao XIE1, 5, Le WANG1, 4, 6, Haonan SHE1
Affiliations
  • 1 School of Geological Engineering and Geomatics, Chang'an University, Xi'an 710054, China
  • 2 Department of Applied Mathematics and Aerospace Engineering, University of Alicante, 03080 Alicante, Spain
  • 3 Key Laboratory of Ecological Geology and Disaster Prevention, MNR, Xi'an 710054, China
  • 4 Engineering Research Center of Intelligent BDS, Universities of Shaanxi Province, Xi'an 710054, China
  • 5 School of Earth Sciences and Engineering, Hohai University, Nanjing 211100, China
  • 6 Shaanxi Yellow River Science Research Institute, Xi'an 710054, China
Published: 2026-07-15 doi: 10.14075/j.jgg.2025.11.382
Outline
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To enhance the computational efficiency of filter-based joint reduced-dynamic precise orbit determination (POD) for LEO satellites and GNSS, and to strengthen its feasibility for realtime applications, this study performs a simplified analysis and validation of the dynamical parameters to be estimated for LEO satellites. Based on science orbit data from seven LEO satellites during 2019 to 2024, it is found that Swarm-A/C and GRACE-C/D during periods of high solar activity exhibit relatively large estimated accelerations (90 to 140 nm/s2), while the remaining satellites show smaller estimated accelerations (≤30 nm/s2). Validation through four designed POD schemes demonstrates that when the estimated acceleration is small, the best orbit accuracy can be achieved without introducing any dynamical parameters. If the estimated acceleration is large, only adding an atmospheric drag scaling parameter yields optimal accuracy. Simulation experiments further show that in a joint POD scenario involving 120 LEO satellites and BDS-3 satellites, the proposed simplified LEO dynamical parameter model improves computational efficiency by about 30% compared with traditional models, thereby enhancing the realizability of realtime joint orbit determination.

LEO constellation  /  real-time precise orbit determination  /  filter-based orbit determination  /  dynamic model simplification  /  BDS-3/LEO joint orbit determination
赖文, 黄观文, 解世超, 王乐, 折浩男. 基于滤波的LEO卫星实时精密定轨动力学参数简化. 大地测量与地球动力学, 2026 , 46 (7) : 798 -807 . DOI: 10.14075/j.jgg.2025.11.382
Wen LAI, Guanwen HUANG, Shichao XIE, Le WANG, Haonan SHE. Dynamic Parameter Simplification for Filter-Based Real-Time Precise Orbit Determination of Low Earth Orbit Satellites[J]. Journal of Geodesy and Geodynamics, 2026 , 46 (7) : 798 -807 . DOI: 10.14075/j.jgg.2025.11.382
Year 2026 volume 46 Issue 7
25
9
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Article Info
doi: 10.14075/j.jgg.2025.11.382
  • Receive Date:2025-11-08
  • Online Date:2026-10-30
  • Published:2026-07-15
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  • Received:2025-11-08
Funding
Affiliations
    1 School of Geological Engineering and Geomatics, Chang'an University, Xi'an 710054, China
    2 Department of Applied Mathematics and Aerospace Engineering, University of Alicante, 03080 Alicante, Spain
    3 Key Laboratory of Ecological Geology and Disaster Prevention, MNR, Xi'an 710054, China
    4 Engineering Research Center of Intelligent BDS, Universities of Shaanxi Province, Xi'an 710054, China
    5 School of Earth Sciences and Engineering, Hohai University, Nanjing 211100, China
    6 Shaanxi Yellow River Science Research Institute, Xi'an 710054, 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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