Abstract

This paper introduces a new dual-frequency precise point positioning (PPP) model, which combines the observations of three different GNSS constellations, namely GPS, Galileo, and BeiDou. Our model is based on between-satellite single-difference (BSSD) linear combination, which cancels out some receiver-related biases, including receiver clock error and non-zero initial phase bias of the receiver oscillator. The reference satellite can be selected from any satellite system GPS, Galileo, and BeiDou when forming BSSD linear combinations. Natural Resources Canada’s GPS Pace PPP software is modified to enable a combined GPS, Galileo, and BeiDou PPP solution and to handle the newly introduced biases. A total of four data sets at four IGS stations are processed to verify the developed PPP model. Precise satellite orbit and clock products from the IGS-MGEX network are used to correct both of the GPS and Galileo measurements. It is shown that using the BSSD linear combinations improves the precision of the estimated parameters by about 25% compared with the GPS-only PPP solution. Additionally, the solution convergence time is reduced to 10 minutes for both BSSD scenarios, which represent about 50% improvement in comparison with the GPS-only PPP solution.

Highlights

  • Global navigation satellite systems (GNSS) precise point positioning (PPP) has proven to be capable of provid-How to cite this paper: Afifi, A. and El-Rabbany, A. (2016) Improved Between-Satellite Single-Difference Precise Point Positioning Model Using Triple GNSS Constellations: Global Positioning System (GPS), Galileo, and BeiDou

  • This paper develops triple GNSS (GPS, Galileo, and BeiDou) PPP model, which rigorously accounts for the additional combination biases

  • The solution convergence time is reduced to 10 minutes for both between-satellite single-difference (BSSD) scenarios, which represent about 50% improvement in comparison with the GPS-only PPP solution

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Summary

Introduction

Global navigation satellite systems (GNSS) precise point positioning (PPP) has proven to be capable of provid-. Afifi and El-Rabbany [6] show that combining the un-differenced GPS and Galileo observations in a PPP model improves the solution convergence time by about 25%, in comparison with the GPS-only counterpart They show that the inter-system bias is largely constant over a one-hour observation time span, which they are used in their analysis, with a magnitude ranging from 30 to 60 nanoseconds depending on the GNSS receiver type. This paper develops triple GNSS (GPS, Galileo, and BeiDou) PPP model, which rigorously accounts for the additional combination biases These additional biases are lumped together into a new unknown parameter, which is referred to as the inter-system bias, in the PPP mathematical model. The solution convergence time is reduced to 10 minutes for both BSSD scenarios, which represent about 50% improvement in comparison with the GPS-only PPP solution

Un-Differenced PPP Models
E5a f αB
Least Squares Estimation Technique
Results and Discussion
Conclusion
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