Improving the accuracy of GNSS navigation on geostationary orbit through frequency correction of the reference generator based on external time stamp measurements
Abstract
The article examines a method to enhance the accuracy of coordinate-velocity state vector determination for spacecraft on geostationary orbits using Global Navigation Satellite Systems. Emphasis is placed on applying a Kalman filter incorporating an additional measurement of an external time stamp. It is demonstrated that utilizing an external time stamp from a high-stability reference generator significantly improves navigation solution quality by reducing errors caused by frequency drift in the internal generator. To evaluate the proposed approach, a comparison was conducted between two built-in Kalman filter algorithms: one accounting for the external time stamp and one without. Simulations were performed on an ASN satellite navigation module using signal simulators under near-real conditions. Evaluation criteria included the modulus of the coordinate error vector at the end of the navigation interval and the 24-hour prediction error from the end of the navigation interval. Results showed that the external time stamp provided an average accuracy improvement of 25%.
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