Satellite-to-Ground Propagation Modelling for High-Frequency Communication Systems

Abstract

The risk and performance assessment of Ku, Ka, and V band communication satellites involves particular attention to satellite-to-ground propagation models which are instrumental for a reliable communication system. The efficiency of these models is critically hindered by atmospheric phenomena such as tropospheric scintillation, gaseous absorption, and rain attenuation. This research demonstrates an adaptive dynamic propagation model that integrates real-time meteorological data along with topographic profiles, addressing the limitations posed by previous models. Through practical experimentation across different regions, the model demonstrates enhanced accuracy in predictive models and greater accessibility to the satellite links, performing better than traditional models. The data contributes towards the enhancement of enduring high-frequency satellite communication infrastructures with applications in broadband accessibility, navigation, and communications during the catastrophic situations.