Orbit Prediction Methods for ONEWEB Constellation

This study aims to enhance Low Earth Orbit (LEO) satellite orbit prediction accuracy. We propose the Precise Orbit Determination with Optimized Perturbations (PODOP) method, considering Earth’s non-spherical gravity, atmospheric drag, etc., and a Long Short-Term Memory (LSTM)-based approach for orbital element time series. Validation shows that PODOP’s 10-day median error is 8.1 km (19% larger than Simplified General Perturbations (SGP4)’s 10.1 km) and LSTM’s 10-day median error is 5.3 km, outperforming SGP4 (48.5 km) and PODOP and improving constellation management and collision prevention.

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Publication Details

Journal
Aerospace
Published
2025-08-20
DOI
https://doi.org/10.3390/aerospace12080742
Citations
1
Primary Topic
Solar and Space Plasma Dynamics
Type
article
Field-Weighted Citation Impact
1.15

Funders

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article

Orbit Prediction Methods for ONEWEB Constellation

Xiangxu Lei, K. H. Hu, Junyu Chen, Zhao Wen
1 citations
Aerospace
Solar and Space Plasma Dynamics
1.15
article

Orbit Prediction Methods for ONEWEB Constellation

Xiangxu Lei, K. H. Hu, Junyu Chen, Zhao Wen
article en
1 citations

Abstract

This study aims to enhance Low Earth Orbit (LEO) satellite orbit prediction accuracy. We propose the Precise Orbit Determination with Optimized Perturbations (PODOP) method, considering Earth’s non-spherical gravity, atmospheric drag, etc., and a Long Short-Term Memory (LSTM)-based approach for orbital element time series. Validation shows that PODOP’s 10-day median error is 8.1 km (19% larger than Simplified General Perturbations (SGP4)’s 10.1 km) and LSTM’s 10-day median error is 5.3 km, outperforming SGP4 (48.5 km) and PODOP and improving constellation management and collision prevention.

AerospaceVol. 12(8)
Kunming University of Science and Technology (CN), Shandong University of Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 17%
Solar and Space Plasma Dynamics
1.15
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