Performance assessment of GNSS-based real-time navigation for the Sentinel-6 spacecraft
| Autor: | Montenbruck, Oliver, Kunzi, Florian, Hauschild, André |
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| Rok vydání: | 2023 |
| Předmět: |
LEO POD
Galileo GNSS Computer science business.industry LEO Satellites Real-time computing Pseudorange DORIS (geodesy) Navigation system Ephemeris symbols.namesake GNSS applications Orbit Determination Global Positioning System Galileo (satellite navigation) symbols Broadcast Ephemerides General Earth and Planetary Sciences DORIS Orbit determination business Sentinel-6 |
| Popis: | The feasibility of precise real-time orbit determination of low earth orbit satellites using onboard GNSS observations is assessed using six months of flight data from the Sentinel-6A mission. Based on offline processing of dual-constellation pseudorange and carrier phase measurements as well as broadcast ephemerides in a sequential filter with a reduced dynamic force model, navigation solutions with a representative position error of 10 cm (3D RMS) are achieved. The overall performance is largely enabled by the superior quality of the Galileo broadcast ephemerides, which exhibits a two- to three-times smaller signal-in-space-range error than GPS and allows for geodetic-grade GNSS real-time orbit determination without a need for external correction services. Compared to GPS-only processing, a roughly two-times better navigation accuracy is achieved in a Galileo-only or mixed GPS/Galileo processing. On the other hand, GPS tracking offers a useful complement and additional robustness in view of a still incomplete Galileo constellation. Furthermore, it provides improved autonomy of the navigation process through the availability of earth orientation parameters in the new civil navigation message of the L2C signal. Overall, GNSS-based onboard orbit determination can now reach a similar performance as the DORIS (Doppler Orbitography and Radiopositioning Integrated by Satellite) navigation system. It lends itself as a viable alternative for future remote sensing missions. |
| Databáze: | OpenAIRE |
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