Abstract

Real-time Precise Point Positioning (PPP) technique is being widely applied for providing precise positioning services with the significant improvement on satellite precise products accuracy. With the rapid development of the multi-constellation Global Navigation Satellite Systems (multi-GNSS), currently, about 80 navigation satellites are operational in orbit. Obviously, PPP performance is dramatically improved with all satellites compared to that of GPS-only PPP. However, the performance of PPP could be evidently affected by unexpected and unavoidable severe observing environments, especially in the dynamic applications. Consequently, we apply Inertial Navigation System (INS) to the Ionospheric-Constrained (IC) PPP to overcome such drawbacks. The INS tightly aided multi-GNSS IC-PPP model can make full use of GNSS and INS observations to improve the PPP performance in terms of accuracy, availability, continuity, and convergence speed. Then, a set of airborne data is analyzed to evaluate and validate the improvement of multi-GNSS and INS on the performance of IC-PPP.

Highlights

  • In last decades, the Global Navigation Satellite System (GNSS) has been developed dramatically and is applied widely in scientific researches and engineering applications[1,2,3,4,5,6,7]

  • In order to evaluate the performance of the Inertial Navigation System (INS) tightly aided single- and multi-GNSS Ionospheric Constrained (IC)-Precise Point Positioning (PPP) in real-time applications, a set of airborne GNSS/INS data from an aerial photogrammetry mission collected in Taiyuan, China on 25 April, 2015 was analyzed

  • In order to enhance the performance of real-time PPP, we integrate tightly the multi constellation GNSS IC-PPP with INS to take full advantages of the current available GNSS and INS observations

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Summary

Introduction

The Global Navigation Satellite System (GNSS) has been developed dramatically and is applied widely in scientific researches and engineering applications[1,2,3,4,5,6,7]. The satellite availability, spatial geometrical strength, and the corresponding PDOP can be improved once multi-GNSS data are used together[26], which will enhance visibly the PPP performance such as accuracy, availability, and continuity[19,20]. Both GPS and multi-GNSS cannot work well in complex environments e.g. city urban, overpass, umbrage, and tunnel etc. We will introduce the new algorithm of INS tightly aided multi-GNSS (GPS +BeiDou +GLONASS) PPP using the GNSS raw observations with the ionosphere delays and receiver Differential Code Dias (DCB) constrained. The impacts of availability and PDOP of multi-GNSS and INS on the positioning accuracy, convergence time, and attitude determination will be assessed

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