First and Second Order Statistics of Two Years Alphasat Ka/Q Band Satellite Propagation Measurements in Budapest

In the experimental campaign using the Alphasat Aldo Paraboni satellite payload at Budapest University of Technology and Economics, we contribute to characterizing the Ka/Q propagation channels. The satellite transmits unmodulated carrier signals on both frequencies in support of propagation experiments across Europe. Using data collected from Alphasat measurement, we investigate the atmospheric effects, mainly rain attenuation. In view of this we require high equipment availability, accurate measurements and effective data processing technique to extract the time series for high quality statistical modelling purposes. In this paper we provide the analysis of our measured and pre-processed data relating to the first and second order statistics by presenting their long term cumulative distributions. Relevant recommendations from the ITU-R rain attenuation prediction models are compared with the measurements to classify the measured time series, which will be used to assess performance of the Ka/Q band satellite propagation channel in Budapest. We also demonstrate different data processing techniques showing how they influence the goodness of fit with the ITU-R model.