Analysis of Reflected Characteristics of Microwave/Millimeter Wave Based on Multi-layer Graphene

Min Han, Houjun Sun, Yuantao Liu

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

Abstract

The possibility of frequency selective surfaces or antennas based on the material of graphene is a research focus especially in MW/MMW electromagnetic field. In this work, we present a first analysis of the surface conductivity model of multilayer graphene, compared with conductivity of single-layer graphene as a function of the applied electric field. The results showed that the conductivity of the dual-layer graphene was very close to the conductivity value of single-layer graphene at 2V/nm at 1-100GHz. At the same time, the conductivity of graphene with more than 6 layers increased at a very slow rate. Based on this, six layer graphene of an AA stacking structure with the dielectric loading was designed and optimized. The results showed that the W-band electromagnetic reflectance with different forms of polarization and large angle incident were better than 70% (83% at normal incidence). All the above results have a certain reference value for antenna based the material of graphene.

Original languageEnglish
Title of host publicationICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728123455
DOIs
Publication statusPublished - Dec 2019
Event2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019 - Chongqing, China
Duration: 11 Dec 201913 Dec 2019

Publication series

NameICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019

Conference

Conference2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019
Country/TerritoryChina
CityChongqing
Period11/12/1913/12/19

Keywords

  • MMW/Millimeter wave
  • graphene
  • multi-layer
  • reflected characteristic

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