A Near Real-Time Performance Monitoring Dashboard for Galileo and Beyond
B. Röttgers, K. Lutz, Galileo Competence Center, German Aerospace Center (DLR); R. Brydon, L. Spataro, Institute for Software Technology, DLR; W. Dilg, L. Spataro, L. Greda, J. Furthner, Galileo Competence Center, DLR
Date/Time: Thursday, Sep. 19, 11:26 a.m.
Despite their name, Global Navigation Satellite Systems (GNSS) are so much more than just navigation aids. The position, navigation and timing information distributed by GNSS like GPS or Galileo set the time for financial transactions, synchronize power grids and enable precision agriculture, such that fertilizer can be used more efficiently. To put it shortly, GNSS are indispensable in our modern society. Thus, the performance of GNSS constantly needs to be monitored and checked for anomalies.
While all operators of GNSS constantly monitor their own systems, the metrics they use are often not easily comparable. The Signal and Performance Analysis team of the Galileo Competence Center within the German Aerospace Center (DLR) is working on a fair and comprehensive performance monitoring system for all four GNSS, namely Galileo, GPS, BeiDou and GLONASS. In other words, we are aligning algorithms and are using the same datasets to monitor all four GNSS simultaneously and fairly.
Our first step towards the goal of a fair and comprehensive monitoring system is our publicly available webpage at https://gnss-monitoring.dlr.de, where users can find a selected set of performance parameters. The analyses presented on this webpage are based on daily Rinex files recorded by IGS sensor stations and precise products from IGS analysis centers. Therefore, all results have a latency of one day or more.
To obtain a more timely indication of GNSS performance, the construction of our near real-time performance monitoring pipeline is in full swing. This pipeline is fed by data from both IGS and DLR-owned sensor stations around the world. Their data are received in RTCM messages via NTRIP. As they come in, these messages are read and parsed by our own in-house parser, which makes the decoded messages available to a messages broker. This broker distributes the data to the various modules that calculate and determine different performance parameters, such as satellite health status or positioning accuracy. The results are written to a database and displayed on a dashboard. In the first version of the pipeline, we are focusing on Galileo and GPS, BeiDou and GLONASS will be added in the second phase. Overall, this system provides a unique opportunity to capture the current status of global navigation satellite systems.
Such a near real-time performance monitoring pipeline would not be complete without a detector for anomalous measurements and results. We are currently prototyping such a detector for future implementation in the real-time pipeline. This detector could look for simple information such as a change in the health status of a particular satellite, but also for more complex anomalies such as a degradation of the positioning accuracy at the location of the sensor stations. In addition, analyzing the signal strength can give insights into the multipath environment and the local radio frequency interference situation in the vicinity of the sensor stations.
In our presentation, we will briefly recall and reintroduce our public webpage. Then we will present the near real-time performance monitoring pipeline. In this part, we will highlight the first results from the analyses performed by the pipeline and the visualization of the results. As a look into the future, we will discuss our prototype and further possibilities for implementing an anomaly detector in the real-time pipeline.
Acknowledgement: We would like to acknowledge fruitful discussions with with Gerardo Allende Alba, Steffen Thölert (DLR Institute of Communications and Navigation) and Oliver Montenbruck (DLR Space Operations and Astronaut Training).
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