Low-cost data-driven modelling of microwave components using domain confinement and PCA-based dimensionality reduction

Fast data-driven surrogate models can be employed as replacements of computationally demanding full-wave electromagnetic simulations to facilitate the microwave design procedures. Unfortunately, practical application of surrogate modelling is often hindered by the curse of dimensionality and/or cons...

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Bibliographic Details
Published in:	IET microwaves, antennas & propagation Vol. 14; no. 13; pp. 1643 - 1650
Main Authors:	Koziel, Slawomir, Pietrenko-Dabrowska, Anna
Format:	Journal Article
Language:	English
Published:	The Institution of Engineering and Technology 28.10.2020
Subjects:	computational efficiency data‐driven surrogate models domain confinement full‐wave electromagnetic simulations impedance convertors impedance matching impedance matching transformer microstrip components microwave design components microwave devices model scalability PCA‐based dimensionality reduction pre‐optimised reference designs principal component analysis rat‐race coupler reliability Research Article RRC training data samples RRC impedance matching transformer reliability computational efficiency pre-optimised reference designs rat-race coupler data-driven surrogate models microwave design components impedance matching training data samples impedance convertors microwave devices domain confinement microstrip components PCA-based dimensionality reduction model scalability principal component analysis full-wave electromagnetic simulations
ISSN:	1751-8725, 1751-8733
Online Access:	Get full text
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