Aperture Distribution Method for Array-Fed Reflectors: a System Level Performance Case Study

Francesco Lisi*, Julien Maurin, Hervé Legay, Piero Angeletti, George Goussetis*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Array-Fed Reflectors provide the most favourable trade-off between performance, reconfigurability and cost for geostationary communication satellites. By combining the advantages of digital on-board processing, active antenna technology and reflector magnification, these systems can generate hundreds of beams simultaneously and achieve sum rates up to hundreds of Gbps. However, their design can be a time-consuming operation due to the full system simulation required at each iteration of the optimization loop. While the Physical Optics-based Current Distribution method provides the most accurate results, the Geometrical Optics-based Aperture Distribution one can significantly reduce the simulation time at the expense of accuracy. In this manuscript, we analyse the impact of this trade-off for a specific architecture. By computing the Aperture Distribution method on the GPU, the simulation time can be reduced by two orders of magnitude within a tolerable C/I error. This result encourages the use of such method in the early design phase.

Original languageEnglish
Title of host publication18th European Conference on Antennas and Propagation 2024
PublisherIEEE
ISBN (Electronic)9788831299091
DOIs
Publication statusPublished - 26 Apr 2024
Event18th European Conference on Antennas and Propagation 2024 - Glasgow, United Kingdom
Duration: 17 Mar 202422 Mar 2024

Conference

Conference18th European Conference on Antennas and Propagation 2024
Country/TerritoryUnited Kingdom
CityGlasgow
Period17/03/2422/03/24

Keywords

  • Array-Fed Reflectors
  • Broadband connectivity
  • Geometrical Optics
  • Geostationary Orbit satellites
  • GPU acceleration
  • Physical Optics
  • Software-defined Payload
  • VHTS

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Modelling and Simulation
  • Instrumentation
  • Radiation

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