Adaptive batch maximum correlation entropy orbit determination method and device

CN121881687BActive Publication Date: 2026-06-05AEROSPACE INFORMATION RES INST CAS

Patent Information

Authority / Receiving Office: CN · China
Patent Type: Patents(China)
Current Assignee / Owner: AEROSPACE INFORMATION RES INST CAS
Filing Date: 2026-03-19
Publication Date: 2026-06-05

AI Technical Summary

Technical Problem

Traditional orbit determination methods struggle to maintain long-term stability and accuracy in the complex environment of the Earth-Moon space, especially exhibiting poor robustness in nonlinear and non-Gaussian noise environments, and the window length cannot be adaptively adjusted.

Method used

An adaptive batch maximum correlation entropy orbit determination method is adopted. By constructing an orbit dynamics model and a measurement model, combining the maximum Lyapunov exponent and information gain index, the window length is dynamically adjusted, and the state correction is optimized based on the maximum correlation entropy criterion to achieve adaptive orbit determination.

Benefits of technology

It significantly improves the accuracy and robustness of trajectory determination, effectively suppresses the influence of non-Gaussian noise, dynamically matches trajectory dynamics characteristics, and improves computational efficiency and trajectory determination accuracy.

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Abstract

The application discloses a self-adaptive batch processing maximum correlation entropy orbit determination method and device, and belongs to the technical field of spacecraft orbit determination. The method comprises the following steps: establishing a spacecraft orbit dynamics and measurement model; evaluating the orbit stability based on the maximum Lyapunov index to determine the initial length of the batch processing window; dynamically adjusting the window size by using the information gain index to realize the adaptive matching of the window length and the dynamics characteristics; introducing the maximum correlation entropy criterion to construct a robust objective function, suppressing gross errors by using the adaptive kernel bandwidth weighting, and solving the state correction by using the fixed-point iteration method under the maximum correlation entropy criterion; and realizing the continuous orbit determination of the whole time period by batch sliding and state recursion. The application does not need to preset the window length, significantly improves the orbit determination accuracy and robustness, and is suitable for high-reliability orbit determination of spacecraft in the earth-moon space.

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