Real-Time Attenuation Data for Satellite Communication
Very small aperture terminals (VSATs) access satellites in geosynchronous orbits. The link quality is highly dependent on the tropospheric situation along the fixed slant path between the terminal and the satellite. However, there are a variety of other parameters, such as the orbital motion of the satellite, the pointing accuracy of the terminal, and thermal drifts of the transmitter/receiver that degrade the link quality.
Satellite- and Satellite-Network-Operators always seek ways to further optimize their service quality and their network operation, since their business is challenged by competition from terrestrial services and by the changing trend in TV consumption as a result of streaming solutions. The SatcomWeather project was initiated to support VSAT operators that have a commercial interest in optimizing VSAT networks and data throughput over time.
Statistic Station Classification (Classification of network problems and filter on alarms and events by analysing the long-term behaviour of links) by enabling SatOps to apply physical models on ‘big data‘ implemented in a software to verify (or classify) VSAT measurements.
Near Real Time Station Classification (to classify network problems and filter out problems in near real time)
Station Attenuation Forecast (to optimize ACM for Ka-band and higher frequencies)