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Frequency-coded lens by photonic crystal resonator for mm-wave chipless RFID applications

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

One-dimensional Photonic Crystal (1D PhC) resonator is recently introduced as a good nominee to replace conventional tags at mm-wave and THz bands. For a use of such tags as landmarks in mm-wave indoor self-localization systems, an augmentation of their RCS is required to improve the reading range. As a solution, we propose the integration of a 1D PhC resonator with a dielectric lens (i.e. frequency coded lenses). This concept is demonstrated by locating a 1D PhC resonator in the focal area of a spherical dielectric lens made of PolyPropylene (PP) material with a relative permittivity of 2.0. On the other hand, the PhC resonator is designed by introducing a defect layer between two quarter-wave Bragg mirrors in order to produce a notch signature in the backscattering. Two frequency coded lenses of 24 mm and 40 mm diameter are simulated, fabricated, and experimentally examined. Results show that these coded lenses can achieve 9 dB and 14 dB improvement in RCS, respectively.

Original languageEnglish
Title of host publication2021 4th International Workshop on Mobile Terahertz Systems, IWMTS 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728184395
DOIs
StatePublished - 5 Jul 2021
Externally publishedYes
Event4th International Workshop on Mobile Terahertz Systems, IWMTS 2021 - Essen, Germany
Duration: 5 Jul 20216 Jul 2021

Publication series

Name2021 4th International Workshop on Mobile Terahertz Systems, IWMTS 2021

Conference

Conference4th International Workshop on Mobile Terahertz Systems, IWMTS 2021
Country/TerritoryGermany
CityEssen
Period5/07/216/07/21

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

Keywords

  • 1-D photonic crystal resonator
  • Chipless RFID
  • Dielectric lens
  • Frequency-coded tags
  • Radar cross section

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Signal Processing
  • Electrical and Electronic Engineering

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