An Angularly Stable Triple-band Reflective Polarizing Surface Using a Generative Adversarial Network

Parinaz Naseri, George Goussetis, Nelson J. G. Fonseca, Sean V. Hum

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

Abstract

Linear-to-circular polarization converters with wide-and multi-band capabilities can simplify antenna systems where circular polarization is desired. Multi-band solutions are attractive in satellite communication systems, which commonly have the additional requirement that the sense of polarization is reversed between bands. However, the design of these structures using conventional methods is ad hoc and relies heavily on empirical methods. Here, we employ a data-driven approach integrated with a generative adversarial network to explore the space of polarizer unit cells thoroughly. A triple-band reflective surface with stable performance over incident angles up to and including 30° is proposed.

Original languageEnglish
Title of host publication2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting
PublisherIEEE
Pages447-448
Number of pages2
ISBN (Electronic)9781665496582
DOIs
Publication statusPublished - 21 Sep 2022
Event2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting - Denver, United States
Duration: 10 Jul 202215 Jul 2022

Conference

Conference2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting
Abbreviated titleAP-S/URSI 2022
Country/TerritoryUnited States
CityDenver
Period10/07/2215/07/22

Keywords

  • machine-learning
  • Polarizer
  • satellite communications

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing
  • Instrumentation

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