Abstract

Precise Point Positioning (PPP) technique enables stand-alone receivers to obtain cm-level positioning accuracy. Observations from multi-GNSS systems can augment users with improved positioning accuracy, reliability and availability. In this paper, we present and evaluate the GPS/BDS combined PPP models, including the traditional model and a simplified model, where the inter-system bias (ISB) is treated in different way. To evaluate the performance of combined GPS/BDS PPP, kinematic and static PPP positions are compared to the IGS daily estimates, where 1 month GPS/BDS data of 11 IGS Multi-GNSS Experiment (MGEX) stations are used. The results indicate apparent improvement of GPS/BDS combined PPP solutions in both static and kinematic cases, where much smaller standard deviations are presented in the magnitude distribution of coordinates RMS statistics. Comparisons between the traditional and simplified combined PPP models show no difference in coordinate estimations, and the inter system biases between the GPS/BDS system are assimilated into receiver clock, ambiguities and pseudo-range residuals accordingly.

Highlights

  • To prepare for the phase of generating products for all GNSS available, the IGS [1] initiated the IGS Multi-GNSS Experiment (MGEX) campaign

  • Chen et al [10] demonstrated that near real time GPS/BeiDou Navigation Satellite System (BDS) combined Precise Point Positioning (PPP) solution show a higher degree of precision and better robustness, which

  • We discuss the different parameterization of GPS/BDS PPP, where combined

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Summary

Introduction

To prepare for the phase of generating products for all GNSS available, the IGS [1] initiated the IGS Multi-GNSS Experiment (MGEX) campaign. Station-wise GPS/BDS inter-system bias includes two parts, one is the difference between system time GPST and BDT, and the other comes from the station-wise instrument hardware delay difference when tracking satellites of different systems. Chen et al [19] developed a new simplified multi-GNSS PPP model, which does not include ISB parameter and observations of different GNSS systems could be treated in a unique way. PPP model; Section 3 presents data analysis and compares daily positioning qualities; Section 4 compares the solved parameters between the traditional and simplified combined PPP models; Section 5 summarizes the main points of this paper

PPP Model for Single System
Data Processing
Position Differences between Static PPP and IGS Daily Solutions
Position
ItIt shows shows
Magnitude distribution of 3D RMS of coordinate differences between epoch-wise
Parameter Differences between Combined PPP Models
Kinematic
Station
Conclusions and Suggestions
Full Text
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