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Antenna Modeling Using Variable-Fidelity EM Simulations and Constrained Co-Kriging

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dc.contributor Háskólinn í Reykjavík
dc.contributor Reykjavik University
dc.contributor.author Pietrenko-Dabrowska, Anna
dc.contributor.author Koziel, Slawomir
dc.date.accessioned 2020-12-02T16:22:22Z
dc.date.available 2020-12-02T16:22:22Z
dc.date.issued 2020-05-27
dc.identifier.citation A. Pietrenko-Dabrowska and S. Koziel, “Antenna Modeling Using Variable-Fidelity EM Simulations and Constrained Co-Kriging,” IEEE Access, vol. 8, pp. 91048–91056, 2020, doi: 10.1109/ACCESS.2020.2993951
dc.identifier.issn 2169-3536
dc.identifier.uri https://hdl.handle.net/20.500.11815/2268
dc.description Publisher's version (útgefin grein)
dc.description.abstract Utilization of fast surrogate models has become a viable alternative to direct handling of full-wave electromagnetic (EM) simulations in EM-driven design. Their purpose is to alleviate the difficulties related to high computational cost of multiple simulations required by the common numerical procedures such as parametric optimization or uncertainty quantification. Yet, conventional data-driven (or approximation) modeling techniques are severely affected by the curse of dimensionality. This is a serious limitation when it comes to modeling of highly nonlinear antenna characteristics. In practice, general-purpose surrogates can be rendered for the structures described by a few parameters within limited ranges thereof, which is grossly insufficient from the utility point of view. This paper proposes a novel modeling approach involving variable-fidelity EM simulations incorporated into the recently reported nested kriging modeling framework. Combining the information contained in the densely sampled low- and sparsely sampled high-fidelity models is realized using co-kriging. The resulting surrogate exhibits the predictive power comparable to the model constructed using exclusively high-fidelity data while offering significantly reduced setup cost. The advantages over conventional surrogates are pronounced even further. The presented modeling procedure is demonstrated using two antenna examples and further validated through the application case studies.
dc.description.sponsorship This work was supported in part by the Icelandic Centre for Research (RANNIS) under Grant 206606051, and in part by the National Science Centre of Poland under Grant 2018/31/B/ST7/02369.
dc.format.extent 91048-91056
dc.language.iso en
dc.publisher Institute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartofseries IEEE Access;8
dc.rights info:eu-repo/semantics/openAccess
dc.subject General Engineering
dc.subject General Materials Science
dc.subject General Computer Science
dc.subject Antenna design
dc.subject Surrogate modeling
dc.subject Kriging interpolation
dc.subject Co-kriging
dc.subject Electromagnetic (EM) simulation
dc.subject Verkfræði
dc.subject Efnisfræði
dc.subject Tölvunarfræði
dc.subject Loftnet
dc.subject Hönnun
dc.subject Rafsegulfræði
dc.title Antenna Modeling Using Variable-Fidelity EM Simulations and Constrained Co-Kriging
dc.type info:eu-repo/semantics/article
dcterms.license This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/
dc.description.version Peer reviewed
dc.identifier.journal IEEE Access
dc.identifier.doi 10.1109/ACCESS.2020.2993951
dc.relation.url http://xplorestaging.ieee.org/ielx7/6287639/8948470/09091118.pdf?arnumber=9091118
dc.contributor.department Verkfræðideild (HR)
dc.contributor.department Department of Engineering (RU)
dc.contributor.department Engineering Optimization and Modeling Center (EOMC)
dc.contributor.school Tæknisvið (HR)
dc.contributor.school School of Technology (RU)

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