ABSTRACT This paper presents a software tool designed for preprocessing data from an experimental campaign aimed at characterizing the tropospheric propagation channel using Medium Earth Orbit (MEO) satellites. The collected data provide critical insights into the channel in scenarios involving continuous variations in azimuth and elevation, along with frequent satellite handovers. This work presents the challenges associated with extracting attenuation time series from measured signal levels and outlines the solutions developed to accelerate this process in a multisatellite observation context. The software efficiently integrates beacon amplitude time series, antenna pointing data, receiver parameters, and meteorological records into a unified framework, enabling users to assess measurement conditions and apply both automated and manual classification techniques to the extracted time series. Additionally, the data structures, algorithms, and manipulation techniques designed to leverage multiple data channels are detailed, ensuring precise qualification of beacon propagation data. A step‐by‐step preprocessing procedure using 1 day of real data is presented. The retrieved attenuation time series is compared with Ka‐band Geostationary satellite measurements, highlighting interchannel differences. In addition, selected cumulative statistics are reported.
Brás et al. (Fri,) studied this question.