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Stefan cel Mare
University of Suceava
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ROMANIA

Print ISSN: 1582-7445
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WorldCat: 643243560
doi: 10.4316/AECE


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  4/2019 - 5

Tri-band Impedance Matching Network Design Using Particle Swarm Optimization Algorithm

ULKER, S. See more information about ULKER, S. on SCOPUS See more information about ULKER, S. on IEEExplore See more information about ULKER, S. on Web of Science
 
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Download PDF pdficon (762 KB) | Citation | Downloads: 879 | Views: 216

Author keywords
computer aided engineering, evolutionary computation, impedance matching, microwave circuits, particle swarm optimization

References keywords
optimization(36), swarm(29), microwave(14), design(13), band(11), multi(9), algorithm(8), applications(7), power(6), artificial(6)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2019-11-30
Volume 19, Issue 4, Year 2019, On page(s): 37 - 46
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2019.04005
Web of Science Accession Number: 000505015400001
SCOPUS ID: 85077255996

Abstract
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A solution strategy is presented using a five-section transmission line impedance transformer aiming for multiple band matching network circuits. In this paper, the analysis, which is based on the transmission line theory and application of the evolutionary algorithm for the solution of the stated problem are explained. Design of the matching networks was performed and optimized at three different frequencies 1.8 GHz, 2.4 GHz and 3 GHz at the same time. Tests were performed for two different load configurations. The optimized design values obtained from the particle swarm optimization algorithm were verified for correctness using microwave simulator. After the fabrication of the circuits, the measurements were taken for these circuits for the validation of the design. From the observations that were made, it can be concluded that particle swarm optimization can be a good choice for the design and optimization of multiple band matching network circuits.


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References Weight

Web of Science® Citations for all references: 18,590 TCR
SCOPUS® Citations for all references: 0

Web of Science® Average Citations per reference: 351 ACR
SCOPUS® Average Citations per reference: 0

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2024-03-17 21:49 in 239 seconds.




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