Performance investigation of GLONASS in the static PPP technique with independent short measurement times using online processing services

Abstract

The precise point positioning (PPP) technique, which is still being developed, provides position accuracy at the centimetre (cm) level and is widely employed in scientific research. In the PPP technique, cm-level accuracy can be achieved by evaluating raw data obtained from a single Global Navigation Satellite Systems (GNSS) receiver using precise satellite orbit and clock correction data and other parameters. The majority of studies in the literature are based on 24-hour data obtained from the International GNSS Service (IGS) and similar stations. However, there are fewer articles in which analyzes based on short-term measurements are taken. In this study; the effect of GLONASS on the static PPP technique was investigated with independent short measurement times. For this purpose, measurements were made at 7 different test points on consecutive days using a single GNSS receiver. A 4-hour static measurement was made at each test point. The data obtained were processed in two different scenarios, only GPS and GPS + GLONASS using the Canadian Spatial Reference System – PPP (CSRS-PPP) and Trimble RTX online process software. The processes were completed at 4, 2, 1, and 0.5 h. As a result of the analysis, it has been observed that GLONASS improves the results by 76%, but negatively affects some solutions (24%). It was also observed that GLONASS drastically reduced the outlier values. With this study, it is aimed to show the accuracy that users who make short-term measurements with a single GNSS receiver can be achieved in the static PPP technique by using GPS + GLONASS systems, with repeated measurements.

Keywords:

• GPS
• GLONASS
• PPP
• CSRS-PPP and Trimble CenterPoint RTX

Acknowledgements

The author greatly appreciates the Natural Resources Canada for the CSRS-PPP online service and Trimble Inc. for Trimble CenterPoint RTX Post-Processing Service. The author also thanks the editors and the anonymous reviewers for their valuable comments that significantly improved the quality of the manuscript. Also the author would like to thank Dr. Taha Kağan Aydın for his help in the drawing of Figure 1.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Data availability statement

The data that support the findings of this study are available from the corresponding author(s) by request.

Additional information

Notes on contributors

Ömer Yurdakul

Ömer Yurdakul received his Ph.D. degree in Geomatics Engineering from Necmettin Erbakan University (Turkey). His studies focus on GNSS, PPP, and Network-Based RTK techniques.