Improving Precise Orbit Determination of LEO Satellites Using Enhanced Solar Radiation Pressure Modeling

Abstract Precise orbit knowledge is a fundamental requirement for low Earth orbit (LEO) satellites. High‐precision non‐gravitational force modeling directly improves the overall quality of LEO precise orbit determination (POD). To address the potential systematic errors in solar radiation pressure (...

Full description

Saved in:
Bibliographic Details
Main Authors: Youcun Wang, Min Li, Kecai Jiang, Wenwen Li, Qile Zhao, Rongxin Fang, Na Wei, Renhai Mu
Format: Article
Language:English
Published: Wiley 2023-01-01
Series:Space Weather
Online Access:https://doi.org/10.1029/2022SW003292
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1841536334422867968
author Youcun Wang
Min Li
Kecai Jiang
Wenwen Li
Qile Zhao
Rongxin Fang
Na Wei
Renhai Mu
author_facet Youcun Wang
Min Li
Kecai Jiang
Wenwen Li
Qile Zhao
Rongxin Fang
Na Wei
Renhai Mu
author_sort Youcun Wang
collection DOAJ
description Abstract Precise orbit knowledge is a fundamental requirement for low Earth orbit (LEO) satellites. High‐precision non‐gravitational force modeling directly improves the overall quality of LEO precise orbit determination (POD). To address the potential systematic errors in solar radiation pressure (SRP), we introduce observed radiation data and modeled physical effects to describe the real in‐flight environment of satellites. Time‐dependent solar irradiance data and a highly physical shadow model are considered for SRP modeling. We develop an advanced thermal reradiation model for satellite solar panels. A set of improved non‐gravitational force models is performed for LEO POD, and we discuss the benefits of the enhanced dynamic models on orbit quality and dependence on empirical parameters. The Gravity Recovery and Climate Experiment Follow‐On (GRACE‐FO), Jason‐3, and Haiyang‐2B missions are selected for the POD process. Estimated empirical acceleration and scale parameters and independent satellite laser ranging (SLR) are used to validate the final orbit solutions. The magnitude of empirical acceleration estimated in POD is reduced by 19% with the enhanced dynamic modeling, and the estimated scale factor for the SRP converges to stable and reasonable level. Furthermore, the steady‐state temperature model used in thermal reradiation can effectively reduce mismodeled effects in the SRP, and the systematic linear dependency revealed by the SLR residuals is significantly reduced for the GRACE‐C and Jason‐3 satellites, with improvements of approximately 61% and 49%, respectively. Overall, advances are made in the explicit modeling of non‐gravitational forces to pursue superior satellite orbits, suggesting a more dynamic orbit solution.
format Article
id doaj-art-70e47d05860f45ef917b520abfc87c6b
institution Kabale University
issn 1542-7390
language English
publishDate 2023-01-01
publisher Wiley
record_format Article
series Space Weather
spelling doaj-art-70e47d05860f45ef917b520abfc87c6b2025-01-14T16:35:23ZengWileySpace Weather1542-73902023-01-01211n/an/a10.1029/2022SW003292Improving Precise Orbit Determination of LEO Satellites Using Enhanced Solar Radiation Pressure ModelingYoucun Wang0Min Li1Kecai Jiang2Wenwen Li3Qile Zhao4Rongxin Fang5Na Wei6Renhai Mu7GNSS Research Center Wuhan University Wuhan ChinaGNSS Research Center Wuhan University Wuhan ChinaGNSS Research Center Wuhan University Wuhan ChinaGNSS Research Center Wuhan University Wuhan ChinaGNSS Research Center Wuhan University Wuhan ChinaGNSS Research Center Wuhan University Wuhan ChinaGNSS Research Center Wuhan University Wuhan ChinaGNSS Research Center Wuhan University Wuhan ChinaAbstract Precise orbit knowledge is a fundamental requirement for low Earth orbit (LEO) satellites. High‐precision non‐gravitational force modeling directly improves the overall quality of LEO precise orbit determination (POD). To address the potential systematic errors in solar radiation pressure (SRP), we introduce observed radiation data and modeled physical effects to describe the real in‐flight environment of satellites. Time‐dependent solar irradiance data and a highly physical shadow model are considered for SRP modeling. We develop an advanced thermal reradiation model for satellite solar panels. A set of improved non‐gravitational force models is performed for LEO POD, and we discuss the benefits of the enhanced dynamic models on orbit quality and dependence on empirical parameters. The Gravity Recovery and Climate Experiment Follow‐On (GRACE‐FO), Jason‐3, and Haiyang‐2B missions are selected for the POD process. Estimated empirical acceleration and scale parameters and independent satellite laser ranging (SLR) are used to validate the final orbit solutions. The magnitude of empirical acceleration estimated in POD is reduced by 19% with the enhanced dynamic modeling, and the estimated scale factor for the SRP converges to stable and reasonable level. Furthermore, the steady‐state temperature model used in thermal reradiation can effectively reduce mismodeled effects in the SRP, and the systematic linear dependency revealed by the SLR residuals is significantly reduced for the GRACE‐C and Jason‐3 satellites, with improvements of approximately 61% and 49%, respectively. Overall, advances are made in the explicit modeling of non‐gravitational forces to pursue superior satellite orbits, suggesting a more dynamic orbit solution.https://doi.org/10.1029/2022SW003292
spellingShingle Youcun Wang
Min Li
Kecai Jiang
Wenwen Li
Qile Zhao
Rongxin Fang
Na Wei
Renhai Mu
Improving Precise Orbit Determination of LEO Satellites Using Enhanced Solar Radiation Pressure Modeling
Space Weather
title Improving Precise Orbit Determination of LEO Satellites Using Enhanced Solar Radiation Pressure Modeling
title_full Improving Precise Orbit Determination of LEO Satellites Using Enhanced Solar Radiation Pressure Modeling
title_fullStr Improving Precise Orbit Determination of LEO Satellites Using Enhanced Solar Radiation Pressure Modeling
title_full_unstemmed Improving Precise Orbit Determination of LEO Satellites Using Enhanced Solar Radiation Pressure Modeling
title_short Improving Precise Orbit Determination of LEO Satellites Using Enhanced Solar Radiation Pressure Modeling
title_sort improving precise orbit determination of leo satellites using enhanced solar radiation pressure modeling
url https://doi.org/10.1029/2022SW003292
work_keys_str_mv AT youcunwang improvingpreciseorbitdeterminationofleosatellitesusingenhancedsolarradiationpressuremodeling
AT minli improvingpreciseorbitdeterminationofleosatellitesusingenhancedsolarradiationpressuremodeling
AT kecaijiang improvingpreciseorbitdeterminationofleosatellitesusingenhancedsolarradiationpressuremodeling
AT wenwenli improvingpreciseorbitdeterminationofleosatellitesusingenhancedsolarradiationpressuremodeling
AT qilezhao improvingpreciseorbitdeterminationofleosatellitesusingenhancedsolarradiationpressuremodeling
AT rongxinfang improvingpreciseorbitdeterminationofleosatellitesusingenhancedsolarradiationpressuremodeling
AT nawei improvingpreciseorbitdeterminationofleosatellitesusingenhancedsolarradiationpressuremodeling
AT renhaimu improvingpreciseorbitdeterminationofleosatellitesusingenhancedsolarradiationpressuremodeling