Abstract

The real-time integer-ambiguity resolution of the carrier-phase observation is one of the most effective approaches to enhance the accuracy of real-time precise point positioning (PPP), kinematic precise orbit determination (KPOD), and reduced-dynamic precise orbit determination (RPOD) for low earth orbit (LEO) satellites. In this study, the integer phase clock (IPC) and wide-lane satellite bias (WSB) products from CNES (Centre National d’Etudes Spatiales) are used to fix ambiguity in real time. Meanwhile, the three models of real-time PPP, KPOD, and RPOD are applied to validate the contribution of ambiguity resolution. Experimental results show that (1) the average positioning accuracy of IGS stations for ambiguity-fixed solutions is improved from about 7.14 to 5.91 cm, with an improvement of around 17% compared to the real-time float PPP solutions, with enhancement in the east-west direction particularly significant, with an improvement of about 29%; (2) the average accuracy of the estimated LEO orbit with ambiguity-fixed solutions in the real-time KPOD and RPOD mode is improved by about 16% and 10%, respectively, with respect to the corresponding mode with the ambiguity-float solutions; (3) the performance of real-time LEO RPOD is better than that of the corresponding KPOD, regardless of fixed- or float-ambiguity solutions. Moreover, the average ambiguity-fixed ratio can reach more than 90% in real-time PPP, KPOD, and RPOD.

Highlights

  • The applications of low earth orbit (LEO) satellite data are successfully and widely demonstrated in various areas, such as remote sensing [1,2], communications [3,4], atmospheric sounding [5,6], radio occultation [7,8], ocean altimetry [9,10], and so on

  • Experimental results show that (1) the average positioning accuracy of International global navigation satellite systems (GNSS) Service (IGS) stations for ambiguity-fixed solutions is improved from about 7.14 to 5.91 cm, with an improvement of around 17% compared to the real-time float precise point positioning (PPP) solutions, with enhancement in the east-west direction significant, with an improvement of about 29%; (2) the average accuracy of the estimated LEO orbit with ambiguity-fixed solutions in the real-time kinematic precise orbit determination (KPOD) and reduced-dynamic precise orbit determination (RPOD) mode is improved by about 16% and 10%, respectively, with respect to the corresponding mode with the ambiguity-float solutions; (3) the performance of real-time LEO RPOD is better than that of the corresponding KPOD, regardless of fixed- or float-ambiguity solutions

  • Validation Results of Real-Time Ambiguity Resolution for LEO RPOD the real-time RPOD is computed for GRACE satellites by employing the ambiguity-fixed and ambiguity-float solution to verify the performance of LEO precise orbit determination (POD)

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Summary

Introduction

The applications of low earth orbit (LEO) satellite data are successfully and widely demonstrated in various areas, such as remote sensing [1,2], communications [3,4], atmospheric sounding [5,6], radio occultation [7,8], ocean altimetry [9,10], and so on. To meet the growing needs for real-time spaceborne missions, such as LEO-enhanced real-time location service [11] and real-time atmospheric sounding [12], it is necessary to obtain precise orbits of LEO satellites in real time. It is reported that 7 cm-accuracy kinematic LEO POD can be obtained in real-time mode from the Fugro G4 SSR products based on Swarm-C onboard observations [15]. The BeiDou navigation satellite system (BDS-3) precise point positioning (PPP) service of China [16,17], the new generation of the Australian/New Zealand (AU/NZ) satellite-based augmentation systems (SBAS)-aided PPP service [18], the Quasi-Zenith Satellite System (QZSS) of Japan [18,19], and Galileo’s high-precision PPP service in Europe [20] have their own way to provide real-time GNSS orbit and clock products for users. It is expected that the abovementioned real-time high-precision services will assist spaceborne missions that need precise orbital information

Methods
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Conclusion

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