Satellite orbit prediction data correction method based on real-time tracking data

By dynamically updating satellite orbit prediction data using a curve fitting algorithm based on real-time tracking data, the problem of insufficient satellite orbit prediction accuracy at high elevation angles of narrow-beam ground station antennas is solved, achieving high-precision satellite acquisition and tracking without the need for hardware modifications.

CN115598671BActive Publication Date: 2026-07-24THE 54TH RESEARCH INSTITUTE OF CHINA ELECTRONICS TECHNOLOGY GROUP CORPORATION +1
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Patent Information

Application Number
CN202211178742.4
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-09-27
Publication Date
2026-07-24
Estimated Expiration
2042-09-27

AI Technical Summary

Technical Problem

Existing technologies struggle to provide high-precision satellite orbit prediction data, especially when ground station antennas are at high elevation angles with narrow beams. This makes it difficult to acquire and track satellite downlink signals, and it is impractical to provide ultra-high-precision orbit prediction data to every set of ground station antennas.

Method used

A curve fitting algorithm based on real-time tracking data is adopted, and the satellite orbit prediction data is fitted by the least squares method. The satellite orbit prediction data is updated by real-time tracking data from ground station antennas, and the orbit prediction accuracy is dynamically corrected.

Benefits of technology

It improves the accuracy of satellite orbit prediction data, enables high-precision tracking of ground station antennas, and requires only software upgrades without modifying hardware.

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Abstract

The application discloses a satellite orbit prediction data correction method based on real-time tracking data, and relates to the communication, measurement and control and remote sensing fields, and realizes the acquisition of high-precision orbit prediction data of a ground station antenna. The application is composed of a satellite and a ground station antenna. The application adopts a curve fitting mode to acquire fitting parameters of original satellite orbit prediction data based on real-time tracking data of the ground station antenna; the real-time tracking data of the ground station antenna is recorded in real time, and the corresponding part of known satellite orbit prediction data is updated and replaced; the fitting curve is recalculated by combining the updated satellite orbit prediction data with the calculated fitting parameters; and the real-time satellite orbit prediction data is corrected by using the calculated fitting curve. The application can solve the problem of acquiring high-precision orbit prediction data of the ground station antenna, and has the characteristics of practical and simple design scheme, strong universality, and the need of only upgrading the software of the ground station antenna without modifying the hardware equipment of the ground station antenna.
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