Method and device for synthesizing GNSS multi-source precise satellite orbit products

By employing methods such as pre-alignment, dynamic time warping clustering, and optimal weight determination of multi-source precision satellite orbit products, the problem of limited improvement in the overall accuracy of multi-source orbit products in existing technologies has been solved, achieving higher accuracy and more stable integrated orbit generation.

CN121878736BActive Publication Date: 2026-06-12CHINA UNIV OF MINING & TECH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
CHINA UNIV OF MINING & TECH
Filing Date
2026-03-16
Publication Date
2026-06-12

AI Technical Summary

Technical Problem

Existing technologies fail to adequately consider the accuracy differences between different analysis centers when integrating multi-source precision satellite orbit products, resulting in limited improvement in the accuracy of integrated orbit products. Furthermore, simple arithmetic averages cannot objectively reflect the true accuracy level of each product.

Method used

By employing methods such as track pre-alignment, dynamic time-warping clustering, outlier detection, optimal weight determination, and iterative convergence control, a comprehensive track product with higher accuracy and reliability is generated through automated processing of track data from multiple analysis centers.

Benefits of technology

It significantly improves the accuracy and stability of the integrated orbit, objectively allocates weights through a data-driven approach, avoids conflating satellites with vastly different error characteristics, ensures the scientific validity of the weights and the robustness of the results, and enhances the numerical stability of the iterative optimization process by introducing external observation methods such as satellite laser ranging (SLR) verification.

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Abstract

The application discloses a GNSS multi-source precise satellite orbit product synthesis method and equipment, and belongs to the technical field of satellite navigation and geodetic surveying. Precise orbit data of multiple analysis centers is acquired, and orbit pre-alignment is performed; satellites are grouped; radial, tangential and normal residual sequences of orbit of each center relative to a reference orbit are calculated, and outlier detection and elimination are performed based on a modified Z-score method; core satellites are defined in each satellite group; the core satellite residual is taken as an observation value, a least square variance component estimation method is used to determine weights of each analysis center, and satellite laser ranging prior information is introduced to enhance estimation stability; weighted average is performed on the orbit according to the weights, and a synthesized orbit is obtained; and iteration updating is performed until convergence is achieved. The application fully considers precision differences of data from different sources, and can automatically and objectively generate a synthesized orbit product with higher precision and reliability than a single analysis center.
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