Abstract

Precise Point Positioning (PPP) is traditionally based on dual-frequency observations of GPS or GPS/GLONASS satellite navigation systems. Recently, new GNSS constellations, such as the European Galileo and the Chinese BeiDou are developing rapidly. With the new IGS project known as IGS MGEX which produces highly accurate GNSS orbital and clock products, multi-constellations PPP becomes feasible. On the other hand, the un-differenced ionosphere-free is commonly used as standard precise point positioning technique. However, the existence of receiver and satellite biases, which are absorbed by the ambiguities, significantly affected the convergence time. Between-satellite-single-difference (BSSD) ionosphere free PPP technique is traditionally used to cancel out the receiver related biases from both code and phase measurements. This paper introduces multiple ambiguity datum (MAD) PPP technique which can be applied to separate the code and phase measurements removing the receiver and satellite code biases affecting the GNSS receiver phase clock and ambiguities parameters. The mathematical model for the three GNSS PPP techniques is developed by considering the current full GNSS constellations. In addition, the current limitations of the GNSS PPP techniques are discussed. Static post-processing results for a number of IGS MGEX GNSS stations are presented to investigate the contribution of the newly GNSS system observations and the newly developed GNSS PPP techniques and its limitations. The results indicate that the additional Galileo and BeiDou observations have a marginal effect on the positioning accuracy and convergence time compared with the existence combined GPS/GLONASS PPP. However, reference to GPS PPP, the contribution of BeiDou observations can be considered geographically dependent. In addition, the results show that the BSSD PPP models slightly enhance the convergence time compared with other PPP techniques. However, both the standard un-differenced and the developed multiple ambiguity datum techniques present comparable positioning accuracy and convergence time due to the lack of code and phase-based satellite clock products and the mathematical correlation between the positioning and ambiguity parameters.

Highlights

  • Precise Point Positioning has been studied by a number of research groups in the last two decades (e.g. [1] and [2])

  • As can be seen that compared with the existence combined GPS/ GLONASS precise point positioning (PPP) positioning solution, the additional Galileo and BeiDou observations have a marginal effect on the positioning accuracy and convergence time

  • To assess the contribution of the new GNSS observations compared to the GPS PPP positioning accuracy, both GPS/Galileo and GPS/BeiDou are shown in comparison with the GPS only PPP

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Summary

Introduction

Precise Point Positioning has been studied by a number of research groups in the last two decades (e.g. [1] and [2]). The major drawback of the standard technique is the long convergence time to reach to centimeter positioning accuracy due to the satellite geometry in addition to the improper modeling of errors and biases, such as the satellite and receiver code biases. This research will develop the mathematical equations for this technique in the scale of GNSS and investigate only the impact of separating the receiver biases from the phase measurements on the PPP convergence time. The mathematical model for the standard undifferenced, BSSD and MAD PPP techniques are developed in the scale of the full GNSS constellations, including GPS, GLONASS, Galileo and BeiDou. this research will discuss the current limitations of the current GNSS PPP techniques based on their mathematical models and the current availability of GNSS products. The developed GNSS PPP techniques are assessed based on the convergence time and the positioning accuracy results

GNSS Observations Equations
Standard Un-Differenced GNSS PPP Technique
Between Satellites Single Difference GNSS PPP Technique
Current limitations of GNSS PPP Techniques
Analysis and Results
Conclusion

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