GPS/star sensor integrated navigation method based on Ziyuan-3 satellite

At present, the position measurement of the target in the earth observation system is mainly based on navigation satellites, and the attitude measurement is mainly based on high-precision gyroscopes. However, navigation satellites have not yet achieved in-depth information fusion with attitude measurement and cannot meet the needs of position and attitude prediction, while gyroscopes are affected by the cumulative error and cannot achieve long-term or long-distance target tracking. In order to avoid the cumulative error of gyroscope in attitude measurement, this paper proposes a GPS/star sensor integrated navigation method based on Ziyuan-3 Satellite. Aiming at the errors of GPS positioning and star sensor attitude determination, the errors in the two types of processes are comprehensively processed. The attitude of GPS is calculated based on the position and other information, and the integrated navigation is performed through Kalman filtering. Experiments show that this method can effectively reduce position and attitude errors, and improve the monitoring and service capabilities of GPS and star sensors integrated navigation positioning and attitude determination.

Based on the data of the Resource 3 satellite, this article proposes a method of applying GPS attitude measurement to integrated navigation scenarios for the GPS positioning data and star sensor attitude data, expanding its research prospects in the field of integrated navigation. Through experimental analysis, it has been shown that this scheme has certain feasibility and superiority. Its estimation accuracy is equivalent to that of the integrated navigation method using inertial systems, and it can avoid the inherent defect of inertial system errors accumulating over time, effectively suppress GPS position errors and low frequency errors of star sensors, meet the requirements of correcting positioning and attitude errors, and improve the tracking ability of long-distance or long-term target navigation. At the same time, there are still some areas for further research and improvement in the article. The future research direction is to improve GPS attitude measurement methods, using vector observation and least squares methods to improve attitude determination accuracy. In addition, improvements were made to the Kalman filter to enhance its performance, and further research was conducted on the accuracy and stability of the filtering.