Metamaterial-enabled Reflectarray Antennas for High-power Microwave Applications

Sawyer D. Campbell, Galestan MacKertich-Sengerdy, J. Daniel Binion, Ryan J. Chaky, Ronald P. Jenkins, Ryan Beneck, Colin A. Mussman, Eric B. Whiting, Pingjuan L. Werner, Douglas H. Werner, Steven Parrish, David Law, Joshua Pompeii, Scott Griffiths

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

Abstract

Metamaterial reflectarray antennas are attractive options for reducing system SWaP (size, weight, and power) compared to conventional reflector antennas. However, it has been a long-held belief that metamaterials are unsuitable for high-power microwave applications due to their strong field enhancement behaviors. Here we demonstrate that, fortunately, this challenge can be overcome by judiciously combining state-of-the-art optimization with intelligent material selection and metamaterial geometry.

Original languageEnglish (US)
Title of host publication2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, IEEECONF 2020 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages651-652
Number of pages2
ISBN (Electronic)9781728166704
DOIs
StatePublished - Jul 5 2020
Event2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, IEEECONF 2020 - Virtually, Toronto, Canada
Duration: Jul 5 2020Jul 10 2020

Publication series

Name2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, IEEECONF 2020 - Proceedings

Conference

Conference2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, IEEECONF 2020
CountryCanada
CityVirtually, Toronto
Period7/5/207/10/20

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Instrumentation

Fingerprint Dive into the research topics of 'Metamaterial-enabled Reflectarray Antennas for High-power Microwave Applications'. Together they form a unique fingerprint.

Cite this