3.4 Performance Monitoring for Galileo and other GNSS at the Galileo Competence Center
- Event
- ettc2022 - European Test and Telemetry Conference
2022-05-10 - 2022-05-12
Nuremberg - Chapter
- 3. Time-Space Position Technologies
- Author(s)
- K. Lutz, L. Greda, M. Smyrnaios, W. Dilg, T. Schilling, I. Ioanid, J. Furthner - DLR Galileo Competence Center, Oberpfaffenhofen (Germany), S. Thölert, G. Allende Alba - DLR Institute of Communications and Navigation, Oberpfaffenhofen (Germany), M. Kriegel - DLR Institute for Solar-Terrestrial Physics, Neustrelitz (Germany), L. Spataro, P. Rosauer, A. Meinecke, A. Brydon - DLR Institute for Software Technology, Cologne and Oberpfaffenhofen (Germany)
- Pages
- 80 - 87
- DOI
- 10.5162/ettc2022/3.4
- ISBN
- 978-3-9819376-6-4
- Price
- free
Abstract
Satellite navigation has become a vital part of our daily lives by ensuring navigation on land, in air and at sea, and by providing precise timing information for the energy, communications and finance sector. It is therefore essential to monitor the performance of the four main global navigation satellite systems (GNSS) Galileo, GPS, GLONASS and BeiDou. The Galileo Competence Center (GK), part of the German Aerospace Center (DLR), is dedicated to the further development of the European GNSS consisting of Galileo and EGNOS. Within the SigPerMon project, the GK monitors the reliability and quality of navigation signals with comparable metrics for all four GNSS, and detects deviations from the nominal state of navigation systems. Necessary data are sourced from a global network of GNSS receiver stations. These data are used to compute performance indicators to monitor and analyse the availability and health status of navigation signals, and the precision of positioning and timing solutions. In the future, machine learning models will be used to detect anomalies in the satellite signals. A summary of the results will be presented on a dedicated webpage, which provides both detailed analyses for authorized researchers and personnel, and interactive data visualizations for the general public.