适配解析传播模型的两行根数生成方法及轨道预测方法
By adapting the analytical propagation model through iterative optimization and least squares fitting, the problems of model incompatibility and insufficient accuracy in existing TLE parameter generation methods are solved, achieving high-precision orbital element conversion and prediction, which is suitable for satellite cataloging management and constellation control.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- BEIJING UNIV OF POSTS & TELECOMM
- Filing Date
- 2025-10-21
- Publication Date
- 2026-07-17
AI Technical Summary
Existing TLE parameter generation methods rely on simplified analytical models, resulting in insufficient accuracy in mechanical modeling and long-term propagation capability, making it difficult to achieve high-precision orbit prediction. In particular, the models are incompatible and the errors diverge significantly in commercial aerospace and large-scale satellite management scenarios.
By adopting an adaptive analytical propagation model, and through multiple iterations of optimization and least squares fitting, a cost function and Jacobian matrix are constructed to invert atmospheric drag parameters, thereby achieving high-precision conversion and adaptive enhancement of orbital elements, and adapting to various orbital dynamics models.
It improves the accuracy and stability of orbit prediction, achieves high-precision parameter conversion and compatibility between different models, and supports highly reliable orbit prediction in various scenarios such as satellite cataloging management and long-term constellation control.
Smart Images
Figure CN121597956B_ABST