Modeling and Simulation for the Coupled Transmission Performance between High-Frequency Microwave and Lightwave

Na Sun, Degui Sun, Yue Han, Bruce Wessels

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

Abstract

As an advanced ferroelectric material, barium titanate (BaTiO3) crystal has an electro-optic effect higher than lithium niobate (LiNbO3) crystal by 20-40 times, so it has been taken to be one of the best materials to realize the ultra-high bandwidth electro-optic modulators. In this paper, we model and simulate the transmission coefficient S21 of the microwave signal to the frequency of drive microwave through an embedded waveguide-electrode structure, and further simulate the S21 with a software tool-Sonnet. As a result, when the electrode length, electrode width, electrode thickness, electrode gap, BaTiO3 thin film thickness, magnesium oxide (MgO) substrate thickness and embedded depth were 1mm, 80μm, 1μm, 8μm, 450nm, 500μm and 0.1μm, respectively, the electro-optic modulation bandwidths have reached 50-70GHz, and it can be optimized to 100GHz at 250μm MgO substrate thickness.

Original languageEnglish (US)
Title of host publicationProceedings of 2020 IEEE International Conference on Advances in Electrical Engineering and Computer Applications, AEECA 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages531-535
Number of pages5
ISBN (Electronic)9781728165202
DOIs
StatePublished - Aug 2020
Event2020 IEEE International Conference on Advances in Electrical Engineering and Computer Applications, AEECA 2020 - Dalian, China
Duration: Aug 25 2020Aug 27 2020

Publication series

NameProceedings of 2020 IEEE International Conference on Advances in Electrical Engineering and Computer Applications, AEECA 2020

Conference

Conference2020 IEEE International Conference on Advances in Electrical Engineering and Computer Applications, AEECA 2020
CountryChina
CityDalian
Period8/25/208/27/20

Keywords

  • electro-optic modulation
  • high-frequency microwave
  • microwave bandwidth
  • transmission coefficient

ASJC Scopus subject areas

  • Software
  • Electrical and Electronic Engineering
  • Instrumentation
  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition

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