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A Stellar Imaging Error Correction Method Based on an Ellipsoid Model: Taking Ziyuan 3-02 Satellite Data Analysis as
Bo Wang1, Wei Zhou2, Yuyang Gao3
1College of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China. wangbo_nuaa@nuaa.edu.cn.
This study introduces a novel method to correct star sensor imaging errors, improving space attitude measurement accuracy. The technique enhances star point coordinate precision, crucial for satellite navigation and observation.
Area of Science:
- Spacecraft attitude determination
- Optical sensor calibration
- Astrodynamics
Background:
- High-precision space attitude measurement relies on accurate stellar point image coordinates from star sensors.
- Dynamic imaging conditions introduce significant, coupled errors in star point extraction.
- Existing methods struggle to effectively correct these errors under complex operational scenarios.
Purpose of the Study:
- To develop and validate a geometric error correction method for star sensor image star points.
- To improve the accuracy of space attitude measurements by mitigating dynamic imaging errors.
- To enhance the reliability of satellite navigation and observation systems.
Main Methods:
- Utilized preliminary star point extraction results and superimposed time series to analyze star point motion and trajectory.
- Established an image error ellipsoid fitting model based on satellite elliptical orbits.
- Employed multi-parameter screening of elliptic equation intersections for geometric error correction.
Main Results:
- Simulation data demonstrated an 89.8% accuracy in error correction, with each star point coordinate calculated in an average of 0.259 seconds.
- Application to Ziyuan 3-02 satellite data showed a 52.3% reduction in the mean attitude quaternion error.
- The method effectively compensates for star point image observation values, improving attitude calculation accuracy.
Conclusions:
- The developed method significantly enhances the accuracy of star sensor attitude determination.
- Estimation of dynamic imaging errors provides effective compensation for star point observations.
- This approach is vital for improving the overall performance and reliability of spacecraft attitude measurement systems.
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