Design and modeling of a compact power divider with squared resonators using artificial intelligence
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F21%3A43960208" target="_blank" >RIV/49777513:23220/21:43960208 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/article/10.1007/s11277-020-07960-5" target="_blank" >https://link.springer.com/article/10.1007/s11277-020-07960-5</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s11277-020-07960-5" target="_blank" >10.1007/s11277-020-07960-5</a>
Alternative languages
Result language
angličtina
Original language name
Design and modeling of a compact power divider with squared resonators using artificial intelligence
Original language description
In this paper, a novel miniaturized microstrip Wilkinson power divider (WPD) using squared resonators and open-ended stubs is designed, fabricated, and measured. The proposed divider is designed at 1.9 GHz, which suppresses 2nd, 3rd, and 4th harmonics with high attenuation levels. Moreover, the size of the proposed divider is only 0.1 λg × 0.07 λg, which reduces the circuit size by more than 55%, compared to the conventional Wilkinson divider. In the design process, the neural network model and LC-equivalent circuit model are used to predict the transmission zeros of the circuit. These transmission zeros are used to provide the suppression at the desired harmonics. Also, the main circuit elements could be predicted with the neural network model, which results in a performance improvement of the proposed divider. The results show that the proposed model can predict the frequency response of the designed WPD, accurately.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
<a href="/en/project/EF18_069%2F0009855" target="_blank" >EF18_069/0009855: Electrical Engineering Technologies with High-Level of Embedded Intelligence</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
WIRELESS PERSONAL COMMUNICATIONS
ISSN
0929-6212
e-ISSN
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Volume of the periodical
117
Issue of the periodical within the volume
3
Country of publishing house
US - UNITED STATES
Number of pages
12
Pages from-to
2085-2096
UT code for WoS article
000590986700005
EID of the result in the Scopus database
2-s2.0-85096294847