Radiometeorological Forecast Model: a New Tool for Deep-Space Link Budget Optimization at Ka-band

M. Biscarini,S. Di Fabio, M. Montagna, K. De Sanctis, M. Montopoli, L. Iess, L. Bernardini, P. Antonelli,P. Scaccia, L. Milani, K. Spieker, J. Villalvilla, A. Martellucci, M. Lanucara,F. S. Marzano

2023 17th European Conference on Antennas and Propagation (EuCAP)(2023)

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摘要
This work describes the RadioMetOP (RadioMeteorological Operation Planner tool) model for the optimization of deep-space satellite links. RadioMetOP allows exploiting dynamical statistics (i.e., customized on the specific day of the satellite pass) of atmospheric attenuation and brightness temperature derived coupling weather-forecast and radiopropagation models. RadioMetOP model has successfully passed the feasibility and validation phases demonstrating a capability of providing an extra daily data-volume up to 300% with respect to classical link-budget techniques based on static climatological statistics. Validation process was possible thanks to the collaboration with both ESA and JAXA that, for the first time, made available Ka-band measurements from the Hayabusa2 mission on the asteroid 162173 Ryugu. Since April 2022, RadioMetOP is operative for BepiColombo mission to Mercury: the first radiometeorological forecast tool operating for a deep-space mission at Ka-band. Latest results confirms that the RadioMetOP model is able to predict measured link performance in all-weather conditions. The future objective is to extend the RadioMetOP scope to make it multi-site, multimission and multi-frequency with a focus on its application at optical frequencies.
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关键词
radiopropagation, satellite communications, numerical weather predictions, satellite link-budget
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