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Multiple Performance Optimization for Microstrip Patch Antenna Improvement
As the Internet of Things (IOT) becomes more widely used in our everyday lives, an increasing number of wireless communication devices are required, meaning that an increasing number of signals are transmitted and received through antennas. Thus, the performance of antennas plays an important role i...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10181038/ https://www.ncbi.nlm.nih.gov/pubmed/37177481 http://dx.doi.org/10.3390/s23094278 |
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author | Chen, Ja-Hao Cheng, Chen-Yang Chien, Chuan-Min Yuangyai, Chumpol Chen, Ting-Hua Chen, Shuo-Tsung |
author_facet | Chen, Ja-Hao Cheng, Chen-Yang Chien, Chuan-Min Yuangyai, Chumpol Chen, Ting-Hua Chen, Shuo-Tsung |
author_sort | Chen, Ja-Hao |
collection | PubMed |
description | As the Internet of Things (IOT) becomes more widely used in our everyday lives, an increasing number of wireless communication devices are required, meaning that an increasing number of signals are transmitted and received through antennas. Thus, the performance of antennas plays an important role in IOT applications, and increasing the efficiency of antenna design has become a crucial topic. Antenna designers have often optimized antennas by using an EM simulation tool. Although this method is feasible, a great deal of time is often spent on designing the antenna. To improve the efficiency of antenna optimization, this paper proposes a design of experiments (DOE) method for antenna optimization. The antenna length and area in each direction were the experimental parameters, and the response variables were antenna gain and return loss. Response surface methodology was used to obtain optimal parameters for the layout of the antenna. Finally, we utilized antenna simulation software to verify the optimal parameters for antenna optimization, showing how the DOE method can increase the efficiency of antenna optimization. The antenna optimized by DOE was implemented, and its measured results show that the antenna gain and return loss were 2.65 dBi and 11.2 dB, respectively. |
format | Online Article Text |
id | pubmed-10181038 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-101810382023-05-13 Multiple Performance Optimization for Microstrip Patch Antenna Improvement Chen, Ja-Hao Cheng, Chen-Yang Chien, Chuan-Min Yuangyai, Chumpol Chen, Ting-Hua Chen, Shuo-Tsung Sensors (Basel) Article As the Internet of Things (IOT) becomes more widely used in our everyday lives, an increasing number of wireless communication devices are required, meaning that an increasing number of signals are transmitted and received through antennas. Thus, the performance of antennas plays an important role in IOT applications, and increasing the efficiency of antenna design has become a crucial topic. Antenna designers have often optimized antennas by using an EM simulation tool. Although this method is feasible, a great deal of time is often spent on designing the antenna. To improve the efficiency of antenna optimization, this paper proposes a design of experiments (DOE) method for antenna optimization. The antenna length and area in each direction were the experimental parameters, and the response variables were antenna gain and return loss. Response surface methodology was used to obtain optimal parameters for the layout of the antenna. Finally, we utilized antenna simulation software to verify the optimal parameters for antenna optimization, showing how the DOE method can increase the efficiency of antenna optimization. The antenna optimized by DOE was implemented, and its measured results show that the antenna gain and return loss were 2.65 dBi and 11.2 dB, respectively. MDPI 2023-04-26 /pmc/articles/PMC10181038/ /pubmed/37177481 http://dx.doi.org/10.3390/s23094278 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Chen, Ja-Hao Cheng, Chen-Yang Chien, Chuan-Min Yuangyai, Chumpol Chen, Ting-Hua Chen, Shuo-Tsung Multiple Performance Optimization for Microstrip Patch Antenna Improvement |
title | Multiple Performance Optimization for Microstrip Patch Antenna Improvement |
title_full | Multiple Performance Optimization for Microstrip Patch Antenna Improvement |
title_fullStr | Multiple Performance Optimization for Microstrip Patch Antenna Improvement |
title_full_unstemmed | Multiple Performance Optimization for Microstrip Patch Antenna Improvement |
title_short | Multiple Performance Optimization for Microstrip Patch Antenna Improvement |
title_sort | multiple performance optimization for microstrip patch antenna improvement |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10181038/ https://www.ncbi.nlm.nih.gov/pubmed/37177481 http://dx.doi.org/10.3390/s23094278 |
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