The goal of this work is to demonstrate how the use of short-term radio-meteorological forecasts can aid the optimization of transferred data volumes from deep-space (DS) satellite pay- loads to Earth receiving stations. To this aim, a weather forecast (WF) numerical model is coupled with a microphysically oriented radiopropagation scheme in order to predict the atmospheric effects on Ka-band signals in DS links. A regional WFs model is exploited to obtain short-term predictions of the atmospheric state. The microphysically oriented radiopropagation scheme con- sists in a 3-D radiative transfer model which is used to compute the slant path attenuation and the antenna noise temperature at Ka-band in order to predict the signal-to-noise ratio at the receiv- ing station. As a baseline, the BepiColombo mission to Mercury is chosen. Two prediction methods, statistical and maximization, are introduced and tested in two scenarios: 1) full-numerical scenario, where simulated data are used for evaluating the performances of the prediction techniques; 2) semiempirical scenario, where measured meteorological data are exploited to simulate beacon measurements in clear and rainy conditions. The results are shown in terms of received and lost data volumes and compared with benchmark scenarios. Using short-term radio-meteorological fore- casts, yearly data volume return can be increased more than 20% if daily WFs, rather than monthly climatological statistics, are exploited.

Optimizing data volume return for Ka-band deep space links exploiting short-term radiometeorological model forecast / Biscarini, Marianna; Marzano, FRANK SILVIO; Montopoli, Mario; Sanctis, Klaide De; Iess, Luciano; Montagna, Maria; Mercolino, Mattia; Lanucara, Marco; De Sanctis, Klaide. - In: IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION. - ISSN 0018-926X. - ELETTRONICO. - 64:1(2016), pp. 235-250. [10.1109/TAP.2015.2500910]

Optimizing data volume return for Ka-band deep space links exploiting short-term radiometeorological model forecast

BISCARINI, MARIANNA;MARZANO, FRANK SILVIO;MONTOPOLI, MARIO;IESS, Luciano;MONTAGNA, MARIA;MERCOLINO, mattia;LANUCARA, Marco;
2016

Abstract

The goal of this work is to demonstrate how the use of short-term radio-meteorological forecasts can aid the optimization of transferred data volumes from deep-space (DS) satellite pay- loads to Earth receiving stations. To this aim, a weather forecast (WF) numerical model is coupled with a microphysically oriented radiopropagation scheme in order to predict the atmospheric effects on Ka-band signals in DS links. A regional WFs model is exploited to obtain short-term predictions of the atmospheric state. The microphysically oriented radiopropagation scheme con- sists in a 3-D radiative transfer model which is used to compute the slant path attenuation and the antenna noise temperature at Ka-band in order to predict the signal-to-noise ratio at the receiv- ing station. As a baseline, the BepiColombo mission to Mercury is chosen. Two prediction methods, statistical and maximization, are introduced and tested in two scenarios: 1) full-numerical scenario, where simulated data are used for evaluating the performances of the prediction techniques; 2) semiempirical scenario, where measured meteorological data are exploited to simulate beacon measurements in clear and rainy conditions. The results are shown in terms of received and lost data volumes and compared with benchmark scenarios. Using short-term radio-meteorological fore- casts, yearly data volume return can be increased more than 20% if daily WFs, rather than monthly climatological statistics, are exploited.
2016
deep space (DS) exploration; Ka-band downlink; numerical modeling; radiopropagation; WF; condensed matter physics; electrical and electronic engineering
01 Pubblicazione su rivista::01a Articolo in rivista
Optimizing data volume return for Ka-band deep space links exploiting short-term radiometeorological model forecast / Biscarini, Marianna; Marzano, FRANK SILVIO; Montopoli, Mario; Sanctis, Klaide De; Iess, Luciano; Montagna, Maria; Mercolino, Mattia; Lanucara, Marco; De Sanctis, Klaide. - In: IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION. - ISSN 0018-926X. - ELETTRONICO. - 64:1(2016), pp. 235-250. [10.1109/TAP.2015.2500910]
File allegati a questo prodotto
File Dimensione Formato  
Biscarini_Optimizing_2016.pdf

solo utenti autorizzati

Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 1.88 MB
Formato Adobe PDF
1.88 MB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/855051
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 31
  • ???jsp.display-item.citation.isi??? 21
social impact