Introduction

PRIDE PPP-AR ver. 3.0 originates in Dr. Maorong Ge’s efforts on PPP-AR and later developed and improved by Dr. Jianghui Geng's team. It is an open-source software package which is based on many GNSS professionals’ collective work in GNSS Research Center, Wuhan University. We would like to thank them all for their brilliant contributions to this software. 

We make this package open source with the goal of benefiting those professionals in their early career, and also advocate the geodetic and geophysical applications of GNSS PPP-AR. Especially, we hope that this package can contribute to high-precision applications in geosciences such as crustal motion and troposphere sounding studies. The entire open-source project is funded by the National Natural Science Foundation of China (No. 42025401) and is under the auspices of IAG SC 4.2 "Positioning and Applications".

The precise products can be accessed at ftp://igs.gnsswhu.cn/pub/whu/phasebias/. 

The copyright of this package is protected by GNU General Public License (version 3). 

References

Zeng J, Geng J, Li G, Tang W (2024). Improving cycle slip detection in ambiguity-fixed precise point positioning for kinematic LEO orbit determination. GPS Solutions, 28(3), 135. https://doi.org/10.1007/s10291-024-01639-1

Geng J, Wen Q, Zhang Q, Li G, Zhang K (2022). GNSS observable-specific phase biases for all-frequency PPP ambiguity resolution. Journal of Geodesy, 96(11):1-18. doi:10.1007/s00190-022-01602-3

Geng J, Chen X, Pan Y, Zhao Q (2019). A modified phase clock/bias model to improve PPP ambiguity resolution at Wuhan University. Journal of Geodesy, 93(10):2053-2067. doi:10.1007/s00190-019-01301-6

Geng J, Chen X, Pan Y, Mao S, Li C, Zhou J, Zhang K (2019). PRIDE PPP‑AR: an open‑source software for GPS PPP ambiguity resolution. GPS Solutions, 23(91):1-10. doi:10.1007/s10291-019-0888-1

Geng J, Yang S, Guo J (2021). Assessing IGS GPS/Galileo/BDS-2/BDS-3 phase bias products with PRIDE PPP-AR. Satellite Navigation, 2(1):1-15. doi:10.1186/s43020-021-00049-9

Geng J, Mao S. Massive GNSS network analysis without baselines: Undifferenced ambiguity resolution. J. Geophys. Res. 2021, 126(10), e2020JB021558. doi:10.1029/2020JB021558