Modeling Rain Fields for Earth Space Propagation Applications by an Autoregressive Modeling Approach

It is well known that wireless telecommunication systems operating at frequencies higher than approximately 10 GHz are strongly affected by atmospheric components, among which rain always plays the prevailing role. An accurate description of the atmospheric impairments, especially those caused by precipitation, is then very useful to select the best mitigation technique to counteract deep fades. In this work, an ARX-based technique is proposed to model the rainfall dynamics and as a basic step towards full space-time rain field modeling. This method, whose parameters are identified from radar-derived precipitation data, can be easily implemented for real-time rainfall prediction purposes or to generate realistic synthetic rain fields, which, in turn, can be exploited to predict the performance of advanced satellite systems for telecommunications.