Assessment of Different Real Time Precise Point Positioning Correction Over the Sea Area

Abstract

In a global scale, the accuracy of Real Time Precise Point Positioning (RT-PPP) method in Global Navigation Satellite System (GNSS) point positioning is within cm to dm level. Unlike other conventional method in GNSS point positioning which used differential data to minimize the error sources, RT-PPP used additional orbit correction, clock correction and other atmospheric correction to minimize the error since RT-PPP is an absolute point positioning method. Currently, there are several providers who give the orbit correction and clock correction in real-time. Not only in the land area, this service can be also used in sea area. Thus, this research aims to analyse the differences in point determination derived from RT-PPP method by using several service providers in sea area. The RT-PPP data acquisition used three different receivers with unique service correction, namely RTX correction from Trimble Net R9 receiver, ATLAS correction from Hemisphere receiver and Veripos correction from Hemisphere receiver. All these antennas were set up on the ship with a controlled distance and the point coordinates were estimated from Seribu Island to Ancol, Jakarta with a different time interval for each receiver due to the technical limitations. To assess the point positioning stability, the distance between each antenna derived from point positioning then evaluated by comparing to its controlled distance. The results indicate that a time lag is found in Trimble Net R9 compared with the others, and it should be corrected first before applying the further analysis. In general, after removing the outliers, the distance and the precision between each antenna between Veripos-ATLAS is 4.472 ± 0.040 m, RTX-ATLAS is 2.054 ± 0.077 m and RTX-Veripos is 3.947 ± 0.060 m. Therefore, RT-PPP method can be used as an alternative in precise point positioning in sea area.

References
[1] B. Bramanto, I. Gumilar and W. Kuntjoro, ”RT-PPP: Concept and Performance in Indonesia Region,” in FIT ISI 2015, Batu, 2015.

[2] C. Rizos, C. R. V. Janssen and T. Grinter, ”Precise Point Positioning: Is the era of differential GNSS positioning drawing to an end?,” in FIG Working Week 2, Rome, Italy, 2012.

[3] C. Cai, Y. Gao, L. Pan, and J. Zhu, ”Precise point positioning with quad-constellations: GPS,BeiDou, GLONASS and Galileo,” Advances in Space Research, vol. 56, pp. 133–143, 2015.

[4] H. Li, LiaoX., B. Li and L. Yang, ”Modeling of the GPS satellite clock error and its performance evaluation in precise point positioning,” Advances in Space Research, vol. 62, pp. 845–854, 2018.

[5] Poerbandono, K. Prijatna and I. Gumilar, ”racking of geodetic height of sea level in the west of Java Sea, Indonesia: A preliminary assessment.,” E3S Web of Conferences, vol. 94, no. 01003, 2019.

[6] S. Bisnath and Y. Gao, ”Precise point positioning, a powerful technique with a promising future,” GPS World, vol. 20, no. 4, pp. 44–50, 2009.

[7] M. Berber and W. Wright, ”Online kinematic GNSS data processing for small hydrographic surveys,” Ocean Engineering, vol. 112, pp. 335–339, 2016.

[8] D. Slobbe, R. Klees, M. Verlaan, L. L. Dorst and H. Gerritsen, ”Lowest astronomical tide in the North Sea derived from a vertically referenced shallow water model, and an assessment of its suggested sense of safety,” Marine Geodesy, vol. 36, no. 1, pp. 31–71, 2012.

[9] D. Dodd and J. Mills, ”Ellipsoidally referenced surveys: Issues and solutions,” International Hydrographic Review, vol. 6, pp. 19–30, 2011.

[10] J. C. Iliffe, M. K. Ziebart and J. F. Turner, "A new methodology for incorporating tide gauge data in sea surface topography models,” Marine Geodesy, vol. 30, no. 4, pp. 271–296, 2007.

[11] G. Weber, L. Mervart, Z. Lukes, C. Rocken and J. Dousa, "Real-time clock and orbit corrections for improved point positioning via NTRIP,” in ION-GNSS-2007, Fort Worth, TX, USA, 2007.

[12] J. Tomaštík, M. Mokroš, P. Surový, A. Grznárová and J. Merganic, ”UAV RTK/PPK Method—An Optimal Solution for Mapping Inaccessible Forested Areas?,” Remote sensing, vol. 11, no. 721, 2019.