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The Automatic Design of Multimode Resonator Topology with Evolutionary Algorithms

Microwave electromagnetic devices have been used for many applications in tropospheric communication, navigation, radar systems, and measurement. The development of the signal preprocessing units including frequency-selective devices (bandpass filters) determines the reliability and usability of suc...

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Autores principales: Stanovov, Vladimir V., Khodenkov, Sergey A., Popov, Aleksey M., Kazakovtsev, Lev A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8915033/
https://www.ncbi.nlm.nih.gov/pubmed/35271118
http://dx.doi.org/10.3390/s22051961
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author Stanovov, Vladimir V.
Khodenkov, Sergey A.
Popov, Aleksey M.
Kazakovtsev, Lev A.
author_facet Stanovov, Vladimir V.
Khodenkov, Sergey A.
Popov, Aleksey M.
Kazakovtsev, Lev A.
author_sort Stanovov, Vladimir V.
collection PubMed
description Microwave electromagnetic devices have been used for many applications in tropospheric communication, navigation, radar systems, and measurement. The development of the signal preprocessing units including frequency-selective devices (bandpass filters) determines the reliability and usability of such systems. In wireless sensor network nodes, filters with microstrip resonators are widely used to improve the out-of-band suppression and frequency selectivity. Filters based on multimode microstrip resonators have an order that determines their frequency-selective properties, which is a multiple of the number of resonators. That enables us to reduce the size of systems without deteriorating their selective properties. Various microstrip multimode resonator topologies can be used for both filters and microwave sensors, however, the quality criteria for them may differ. The development of every resonator topology is time consuming. We propose a technique for the automatic generation of the resonator topology with required frequency characteristics based on the use of evolutionary algorithms. The topology is encoded into a set of real valued parameters, which are varied to achieve the desired features. The differential evolution algorithm and the genetic algorithm with simulated binary crossover and polynomial mutation are applied to solve the formulated problem using the dynamic penalties method. The experimental results show that our technique enables us to find microstrip resonator topologies with desired amplitude-frequency characteristics automatically, and manufactured devices demonstrate characteristics very close to the results of the algorithm. The proposed algorithmic approach may be used for automatically exploring the new perspective topologies of resonators used in microwave filters, radar antennas or sensors, in accordance with the defined criteria and constraints.
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spelling pubmed-89150332022-03-12 The Automatic Design of Multimode Resonator Topology with Evolutionary Algorithms Stanovov, Vladimir V. Khodenkov, Sergey A. Popov, Aleksey M. Kazakovtsev, Lev A. Sensors (Basel) Article Microwave electromagnetic devices have been used for many applications in tropospheric communication, navigation, radar systems, and measurement. The development of the signal preprocessing units including frequency-selective devices (bandpass filters) determines the reliability and usability of such systems. In wireless sensor network nodes, filters with microstrip resonators are widely used to improve the out-of-band suppression and frequency selectivity. Filters based on multimode microstrip resonators have an order that determines their frequency-selective properties, which is a multiple of the number of resonators. That enables us to reduce the size of systems without deteriorating their selective properties. Various microstrip multimode resonator topologies can be used for both filters and microwave sensors, however, the quality criteria for them may differ. The development of every resonator topology is time consuming. We propose a technique for the automatic generation of the resonator topology with required frequency characteristics based on the use of evolutionary algorithms. The topology is encoded into a set of real valued parameters, which are varied to achieve the desired features. The differential evolution algorithm and the genetic algorithm with simulated binary crossover and polynomial mutation are applied to solve the formulated problem using the dynamic penalties method. The experimental results show that our technique enables us to find microstrip resonator topologies with desired amplitude-frequency characteristics automatically, and manufactured devices demonstrate characteristics very close to the results of the algorithm. The proposed algorithmic approach may be used for automatically exploring the new perspective topologies of resonators used in microwave filters, radar antennas or sensors, in accordance with the defined criteria and constraints. MDPI 2022-03-02 /pmc/articles/PMC8915033/ /pubmed/35271118 http://dx.doi.org/10.3390/s22051961 Text en © 2022 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
Stanovov, Vladimir V.
Khodenkov, Sergey A.
Popov, Aleksey M.
Kazakovtsev, Lev A.
The Automatic Design of Multimode Resonator Topology with Evolutionary Algorithms
title The Automatic Design of Multimode Resonator Topology with Evolutionary Algorithms
title_full The Automatic Design of Multimode Resonator Topology with Evolutionary Algorithms
title_fullStr The Automatic Design of Multimode Resonator Topology with Evolutionary Algorithms
title_full_unstemmed The Automatic Design of Multimode Resonator Topology with Evolutionary Algorithms
title_short The Automatic Design of Multimode Resonator Topology with Evolutionary Algorithms
title_sort automatic design of multimode resonator topology with evolutionary algorithms
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8915033/
https://www.ncbi.nlm.nih.gov/pubmed/35271118
http://dx.doi.org/10.3390/s22051961
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