Prediction of Channel Excess Attenuation for Satellite Communication Systems at Q-band Using Artificial Neural Network

This letter proposes the use of an artificial neural network (ANN) for estimating the fading of a Q-band (39.402 GHz) satellite channel exploiting the knowledge of its previous state, as well as the present weather conditions. The ANN is trained using weather data and propagation measurements at the Q-band obtained during a period of nine months by the Aldo Paraboni receivers of RAL Space, Chilbol...