Abstract
With the gradual increase in the number of GNSS systems and the improvement of functions, in addition to the single-system navigation and timing service, the integrated navigation and positioning service among multiple systems can provide users with more accurate and stable positioning results, arousing more attention from the workers in GNSS field. Compatibility and interoperability among different systems has become a trend in the development of GNSS. Compatibility and interoperability between systems require a uniform time scale. Therefore, the measurement and forecasting of time deviations in GNSS systems is particularly important. This paper first studies the multi-system fusion location model and proposes an adaptive GNSS fusion PPP algorithm based on parameter equivalent reduction. Then, the method of fusion PPP is used to monitor the time difference of GNSS. Finally, the effectiveness of the improved algorithm and time difference monitoring method is verified by practical examples.
Highlights
The official launching of China’s Beidou second-generation satellite navigation system indicates that the number of global satellite navigation and positioning systems (GNSS) currently providing services has increased from two to three
The development characteristics of GNSS have gradually changed from the single Global Position System (GPS) positioning model that initially focuses on post-processing relative positioning to the multi-system GNSS fusion absolute positioning with fast real-time and high-frequency observations
4.2 Static and dynamic accuracy test of fusion positioning In order to further verify the correctness of the fusion precision point positioning technology (PPP) location algorithm and the effectiveness of the adaptive factor, the measured GPS/GLObalnaya NAvigatsionnaya Sputnikovaya Sistema (GLONASS) dual-system observation data is used for calculation and analysis
Summary
The official launching of China’s Beidou second-generation satellite navigation system indicates that the number of global satellite navigation and positioning systems (GNSS) currently providing services has increased from two to three. The number of available GNSS systems and the number of available satellites has gradually increased, and real-time high-frequency data of terrestrial receivers have been widely used. In this context, for real-time mass data under multi-mode GNSS systems, if the traditional PPP fusion algorithm is used, all the GNSS observations are unified to form the observation equation for unified solution, and the computational load is bound to increase exponentially. This kind of overall solution is difficult to realize the adjustment of the weights of the adaptive contribution between different systems, which affects the operational efficiency and precision and reliability of the fusion PPP positioning [6]. The effectiveness and accuracy of the proposed algorithm are verified by the comparison of actual data operation time and dynamic and static positioning tests
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