Performance investigation of Trimble RTX correction service with multi-GNSS constellation

Abstract

In the middle of 2011, Trimble introduced the RTX correction service to support RT-PPP applications. In this study, the performance of Trimble RTX correction service is investigated over a one-month period using five different GNSS constellations – namely, GPS-only, GPS + GLONASS, GPS + Galileo, GPS + GLONASS + Galileo, and GPS + GLONASS + Galileo + BeiDou. The results show that positioning accuracy and convergence time are significantly improved with the use of the multi-GNSS constellation compared with the GPS-only solution. The result of the converged positioning accuracy indicates that the GPS + GLONASS + Galileo + BeiDou combination improves the accuracy by 63%, 54%, and 60% for north, east, and up components, respectively, compared with the GPS-only solution. The mean convergence time is reduced by the GPS + GLONASS+ Galileo + BeiDou combination by 70%, 71%, and 38.6% compared with the GPS-only solution in the north, east, and up components, respectively. 1.2 (north), 1.5 (east), and 2.3 cm (up) root mean square errors (RMSEs) of converged positioning from the GPS + GLONASS + Galileo + BeiDou combination are computed.

Keywords:

• BeiDou
• GPS
• GLONASS
• Galileo
• PPP
• Trimble RTX

Acknowledgements

The authors thank the CHC technique for providing the GNSS receivers for this experiment. The authors also thank Ufuk R. Ozbey at CHC technique for their support during this study. The authors would like to express their gratitude to the Massachusetts Institute of Technology (MIT) for providing the GAMIT/GLOBK scientific software. The authors gratefully acknowledge the financial support provided by Scientific Research Projects of Necmettin Erbakan University (project no. 201219010).

Additional information

Notes on contributors

Omer Faruk Atiz

Omer Faruk Atiz received his B.Sc. degree in Geomatics Engineering from Selcuk University (Turkey). He is currently an M.Sc. candidate at the Geomatics Engineering Department of Necmettin Erbakan University(Turkey). His studies focus on GNSS precise positioning.

Abbas Qader Shakor

Abbas Qader Shakor M.Sc. student at Department of Geomatics Engineering of Necmettin Erbakan University. His research interests include PPP monitoring technologies.

Sermet Ogutcu

Sermet Ogutcu is an Associate Professor at Necmettin Erbakan University, Geomatics Engineering Department. His research interest includes PPP, Network-Based RTK techniques.

Salih Alcay

Salih Alcay is an Associate Professor at Necmettin Erbakan University,Geomatics Engineering Department. He has received his PhD from Selcuk University. His research interest includes GNSS-based positioning,deformation analysis, and ionosphere modelling.