Development of an Augmented Reality Application as Support in Antenna Characterization

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

Abstract

This document presents the design and implementation of a mobile application aimed at visualizing the characteristic parameters of antennas. The principal objective is to use augmented reality to observe the radiation pattern on real antennas, considering how difficult it can be for a student to imagine this parameter. Common antenna designs are considered in academic and work environments. All antennas were designed to work at a frequency band of 2.4 GHz. Characteristic parameters were obtained by simulation in ANSYS HFSS (High-Frequency Structure Simulator) software because it allows to design and simulate high-frequency antennas. In addition to the radiation pattern, parameters such as return losses, Voltage Standing Wave Ratio, impedance, and directivity are observed on the mobile device screen. Detection of the antenna is carried out by previously established identifiers such as QR codes. The established process to visualize the parameters is detailed, thus allowing the application to be replicated in other areas within the academic field as support to the learning process.

Original languageEnglish
Title of host publicationProceedings of 6th International Congress on Information and Communication Technology, ICICT 2021
EditorsXin-She Yang, Simon Sherratt, Nilanjan Dey, Amit Joshi
PublisherSpringer Science and Business Media Deutschland GmbH
Pages131-140
Number of pages10
ISBN (Print)9789811621017
DOIs
StatePublished - 2022
Event6th International Congress on Information and Communication Technology, ICICT 2021 - Virtual, Online
Duration: 25 Feb 202126 Feb 2021

Publication series

NameLecture Notes in Networks and Systems
Volume217
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

Conference6th International Congress on Information and Communication Technology, ICICT 2021
CityVirtual, Online
Period25/02/2126/02/21

Bibliographical note

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Keywords

  • Antenna characterization
  • Augmented reality
  • Mobile application
  • Radiation pattern

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