Mitigating Quantization Lobes in Reconfigurable Reflective Surfaces

Panagiotis C. Theofanopoulos, Georgios C. Trichopoulos

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

1 Scopus citations

Abstract

We present a method for the reduction of quantization lobes in single/multi-bit reconfigurable reflective surfaces (e.g. reflectarrays and large intelligent surfaces). As such, we introduce random physical phase delays on each antenna element of the reflective surface, thus randomizing quantization errors, decreasing the level of the undesired quantization lobes. In this work, we explain our method and present results of a proof-of-concept 275 GHz linear 1-bit reconfigurable reflective surface. Finally, leveraging the proposed method, we achieve a reduction of quantization lobes up to 10 dB for single-bit configurations.

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.
Pages1717-1718
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
Country/TerritoryCanada
CityVirtually, Toronto
Period7/5/207/10/20

Keywords

  • Reflect
  • antenna
  • arrays
  • lobes
  • quantization
  • theory

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Instrumentation

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