Cargando…

A Bandpass Filter Realized by Using Pixel Structure and Genetic Algorithm Optimization

This paper presents a flexible method for designing a bandpass filter (BPF) using pixel structure and genetic algorithm (GA) optimization. The pixel structure is made up of a grid of metallic microstrip stubs, and the GA is utilized to determine the connections between these stubs. The pixel structu...

Descripción completa

Detalles Bibliográficos
Autores principales: He, Yangyang, Cheng, Yi-Feng, Luo, Jiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10385461/
https://www.ncbi.nlm.nih.gov/pubmed/37512700
http://dx.doi.org/10.3390/mi14071389
_version_ 1785081412814110720
author He, Yangyang
Cheng, Yi-Feng
Luo, Jiang
author_facet He, Yangyang
Cheng, Yi-Feng
Luo, Jiang
author_sort He, Yangyang
collection PubMed
description This paper presents a flexible method for designing a bandpass filter (BPF) using pixel structure and genetic algorithm (GA) optimization. The pixel structure is made up of a grid of metallic microstrip stubs, and the GA is utilized to determine the connections between these stubs. The pixel structure enables the construction of step impedance and shunt branches, which are used to design a traditional BPF. To enhance the design freedom, one side of the discrete grids is connected to the ground via metallic holes. For verification, a BPF was designed, simulated, and measured. The experimental results showed that the 10 dB return loss bandwidth ranges from 1.1 to 1.9 GHz and the insertion loss is approximately 2.5 dB. There is good agreement between the calculation, EM simulation, and measurement results. The proposed GA-based design method offers significant advantages in terms of one-time EM simulation, feasibility, and labor time savings, making it more convenient than the traditional design method.
format Online
Article
Text
id pubmed-10385461
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-103854612023-07-30 A Bandpass Filter Realized by Using Pixel Structure and Genetic Algorithm Optimization He, Yangyang Cheng, Yi-Feng Luo, Jiang Micromachines (Basel) Communication This paper presents a flexible method for designing a bandpass filter (BPF) using pixel structure and genetic algorithm (GA) optimization. The pixel structure is made up of a grid of metallic microstrip stubs, and the GA is utilized to determine the connections between these stubs. The pixel structure enables the construction of step impedance and shunt branches, which are used to design a traditional BPF. To enhance the design freedom, one side of the discrete grids is connected to the ground via metallic holes. For verification, a BPF was designed, simulated, and measured. The experimental results showed that the 10 dB return loss bandwidth ranges from 1.1 to 1.9 GHz and the insertion loss is approximately 2.5 dB. There is good agreement between the calculation, EM simulation, and measurement results. The proposed GA-based design method offers significant advantages in terms of one-time EM simulation, feasibility, and labor time savings, making it more convenient than the traditional design method. MDPI 2023-07-07 /pmc/articles/PMC10385461/ /pubmed/37512700 http://dx.doi.org/10.3390/mi14071389 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 Communication
He, Yangyang
Cheng, Yi-Feng
Luo, Jiang
A Bandpass Filter Realized by Using Pixel Structure and Genetic Algorithm Optimization
title A Bandpass Filter Realized by Using Pixel Structure and Genetic Algorithm Optimization
title_full A Bandpass Filter Realized by Using Pixel Structure and Genetic Algorithm Optimization
title_fullStr A Bandpass Filter Realized by Using Pixel Structure and Genetic Algorithm Optimization
title_full_unstemmed A Bandpass Filter Realized by Using Pixel Structure and Genetic Algorithm Optimization
title_short A Bandpass Filter Realized by Using Pixel Structure and Genetic Algorithm Optimization
title_sort bandpass filter realized by using pixel structure and genetic algorithm optimization
topic Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10385461/
https://www.ncbi.nlm.nih.gov/pubmed/37512700
http://dx.doi.org/10.3390/mi14071389
work_keys_str_mv AT heyangyang abandpassfilterrealizedbyusingpixelstructureandgeneticalgorithmoptimization
AT chengyifeng abandpassfilterrealizedbyusingpixelstructureandgeneticalgorithmoptimization
AT luojiang abandpassfilterrealizedbyusingpixelstructureandgeneticalgorithmoptimization
AT heyangyang bandpassfilterrealizedbyusingpixelstructureandgeneticalgorithmoptimization
AT chengyifeng bandpassfilterrealizedbyusingpixelstructureandgeneticalgorithmoptimization
AT luojiang bandpassfilterrealizedbyusingpixelstructureandgeneticalgorithmoptimization