Design and Optimization of 3D Meta-Volumes for Complementary Phases Enabling Wide Field of View RCS Reduction

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

1 Scopus citations

Abstract

Conventionally, the design of coding metasurface unit cells focuses on the performance at normal incidence. The traditional design process has been confined to working within the paradigm of two-dimensional planar or multilayer structures which inherently possess a limited field of view (FoV). Here, in a fundamental departure from this paradigm, a pair of three-dimensional unit cells are simultaneously optimized using a multi-objective genetic algorithm in order to firsthand design the unit cells for maximum performance at oblique incidence angles. These unit cells were then configured into a diffuse array for the purpose of RCS reduction. The surface reduces the bistatic, specular RCS (radar cross section) by 90% (10 dB) over a worst-case 63% bandwidth for oblique incidence of 70 degrees at Hx polarization and by 80% (7 dB) over a worst-case 70% bandwidth for oblique incidence of 45 degrees at Ex polarization.

Original languageEnglish (US)
Title of host publication2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1542-1543
Number of pages2
ISBN (Electronic)9781665496582
DOIs
StatePublished - 2022
Event2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Denver, United States
Duration: Jul 10 2022Jul 15 2022

Publication series

Name2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022 - Proceedings

Conference

Conference2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022
Country/TerritoryUnited States
CityDenver
Period7/10/227/15/22

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Signal Processing
  • Instrumentation

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