China’s Beidou global navigation satellite system (BDS-3) can provide real-time precise point positioning (PPP) service for users in China and surrounding areas with PPP-B2b signal. In order to evaluate the service performance, most of the existing studies store real-time PPP-B2b messages and then recover them to precise satellite orbits and clock offsets, but do not consider the receiving delay in a real-time scene. Therefore, this paper restores the precise product of the corresponding observation epoch in real time. The delay characteristics of PPP-B2b corrections and its impact on PPP positioning are analyzed in detail, and a random model compensation scheme based on delay is proposed. Results show that the orbit recovered accuracy is better than 7.5, 34.2 and 37.2 cm in directions of radial(R), along(A) and cross(C) for MEO (Medium Earth Orbit) satellites, and the standard deviation value of the clock offset errors is better than 7.3 cm. The clock offset whose delay exceeds the official validity period accounts for more than 17%, which can easily lead to point hopping in the positioning results. The random model optimization scheme in this paper can effectively solve the point hopping problem. In terms of static positioning performance, the horizontal accuracy of BDS and BDS/GPS combination is better than 2 cm, the vertical accuracy is better than 4 cm, and the convergence time of dual systems is less than 11 min. In terms of dynamic positioning performance, the horizontal and vertical accuracy of BDS are better than 23 and 26 cm respectively, and the convergence time is about 60 min; The above indexes of dual-systems are 17 cm, 20 cm and 17 min respectively.
Performance Analysis of Real-Time Precise Point Positioning Based on PPP-B2b Signal
Lect. Notes Electrical Eng.
China Satellite Navigation Conference ; 2022 ; Beijing, China May 22, 2022 - May 25, 2022
China Satellite Navigation Conference (CSNC 2022) Proceedings ; Chapter : 45 ; 483-496
2022-05-07
14 pages
Article/Chapter (Book)
Electronic Resource
English
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