Satellite tracking method and device based on satellite signal fusion

By using a satellite tracking method that integrates multi-source information and optimizes beam pointing using signal-to-noise ratio and attitude prediction, the problem of insufficient tracking accuracy and response speed in existing systems in high-dynamic environments is solved, and stable and reliable satellite communication is achieved.

CN121276552APending Publication Date: 2026-01-06HEILONGJIANG ELECTRIC POWER SCIENCE RESEARCH INSTITUTE
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Patent Information

Application Number
CN202511496194.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-10-20
Publication Date
2026-01-06

AI Technical Summary

Technical Problem

Existing satellite tracking systems struggle to balance high-precision tracking and rapid response in highly dynamic motion and rapidly changing signal environments, and lack robustness when signal lock is lost, leading to communication interruptions and low reacquisition efficiency.

Method used

A satellite tracking method using multi-source information fusion is adopted. The control strategy is dynamically adjusted by the central processing unit. Combining the signal-to-noise ratio, terminal attitude and three-axis angular velocity, the Kalman filter algorithm is used for attitude prediction to achieve feedforward compensation and active search, and optimize beam pointing adjustment.

Benefits of technology

Maintaining high-precision tracking in highly dynamic environments shortens signal interruption time, increases reacquisition probability, and enhances system reliability and robustness.

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Abstract

The invention relates to the technical field of satellite communication, and discloses a satellite tracking method and device based on satellite signal fusion, and the device comprises a multi-source information collection unit, a central processing unit, and a phased array antenna unit. The central processing unit judges and obtains a mode signal representing the current working mode according to the obtained signal to noise ratio of the signal and the triaxial angular velocity vector; selecting one of preset control logics according to the mode signal, and adaptively weighting or selecting a signal feedback correction vector, a predictive attitude compensation vector, a real-time attitude compensation vector and the like so as to calculate a beam pointing adjustment vector; and finally, generating a final beam pointing vector to drive the phased-array antenna unit. Through the dynamic switching control strategy, the problem that different working conditions are difficult to consider in a traditional method is solved, the tracking precision, the dynamic response speed and the signal recapturing capability of the system in a complex environment are remarkably improved, and the overall stability and robustness are enhanced.
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