Development of an Augmented Reality Application as Support in Antenna Characterization

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Resumen

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.

Idioma originalInglés
Título de la publicación alojadaProceedings of 6th International Congress on Information and Communication Technology, ICICT 2021
EditoresXin-She Yang, Simon Sherratt, Nilanjan Dey, Amit Joshi
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas131-140
Número de páginas10
ISBN (versión impresa)9789811621017
DOI
EstadoPublicada - 2022
Evento6th International Congress on Information and Communication Technology, ICICT 2021 - Virtual, Online
Duración: 25 feb. 202126 feb. 2021

Serie de la publicación

NombreLecture Notes in Networks and Systems
Volumen217
ISSN (versión impresa)2367-3370
ISSN (versión digital)2367-3389

Conferencia

Conferencia6th International Congress on Information and Communication Technology, ICICT 2021
CiudadVirtual, Online
Período25/02/2126/02/21

Nota bibliográfica

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

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