Please use this identifier to cite or link to this item: https://doi.org/10.15480/882.4700
DC FieldValueLanguage
dc.contributor.authorStefano, Marco de-
dc.contributor.authorWendt, Torben-
dc.contributor.authorYang, Cheng-
dc.contributor.authorGrivet-Talocia, Stefano-
dc.contributor.authorSchuster, Christian-
dc.date.accessioned2022-06-22T18:15:18Z-
dc.date.available2022-06-22T18:15:18Z-
dc.date.issued2022-06-07-
dc.identifier.citationIEEE Transactions on Electromagnetic Compatibility 64 (5): 1365-1379 (2022)de_DE
dc.identifier.issn1558-187Xde_DE
dc.identifier.urihttp://hdl.handle.net/11420/12936-
dc.description.abstractIn this article, we introduce a robust procedure for the extraction of passive rational macromodels of low-loss electromagnetic structures with massive port counts. Such structures pose inherent challenges that make standard macromodeling tools and approaches inadequate, mainly due to complexity and sensitivity at low frequency. The proposed approach involves a preprocessing stage in which port response data from a full-wave electromagnetic solver are regularized and extrapolated to dc using an asymptotic modal representation. The resulting data samples are then processed by a dedicated compression algorithm that represents the full set of input–output responses in terms of a few basis functions, which are constructed by enforcing an exact low-frequency modal asymptotic behavior, possibly including higher order dc zeros. These zeros are preserved in any stage of rational fitting and passivity enforcement, resulting in dc and low-frequency compliant compressed passive macromodels. Numerical results with up to 400 ports demonstrate the superior performance and accuracy of the computed models with respect to state-of-the-art approaches. In particular, the resulting models preserve their accuracy irrespective of the loading conditions, including the limit cases of short and open terminations.en
dc.language.isoende_DE
dc.publisherIEEEde_DE
dc.relation.ispartofIEEE transactions on electromagnetic compatibilityde_DE
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/de_DE
dc.subjectAdmittancede_DE
dc.subjectBehavioral sciencesde_DE
dc.subjectComputational modelingde_DE
dc.subjectData reductionde_DE
dc.subjectExtrapolationde_DE
dc.subjectfield circuit couplingde_DE
dc.subjectImpedancede_DE
dc.subjectIntegrated circuit modelingde_DE
dc.subjectlarge-scalede_DE
dc.subjectlow-frequencyde_DE
dc.subjectmacromodelingde_DE
dc.subjectnonlinear circuitsde_DE
dc.subjectSensitivityde_DE
dc.subject.ddc600: Technikde_DE
dc.titleRegularized and compressed large-scale rational macromodeling: Theory and application to energy-selective shielding enclosuresde_DE
dc.typeArticlede_DE
dc.identifier.doi10.15480/882.4700-
dc.type.diniarticle-
dcterms.DCMITypeText-
tuhh.identifier.urnurn:nbn:de:gbv:830-882.0188710-
tuhh.oai.showtruede_DE
tuhh.abstract.englishIn this article, we introduce a robust procedure for the extraction of passive rational macromodels of low-loss electromagnetic structures with massive port counts. Such structures pose inherent challenges that make standard macromodeling tools and approaches inadequate, mainly due to complexity and sensitivity at low frequency. The proposed approach involves a preprocessing stage in which port response data from a full-wave electromagnetic solver are regularized and extrapolated to dc using an asymptotic modal representation. The resulting data samples are then processed by a dedicated compression algorithm that represents the full set of input–output responses in terms of a few basis functions, which are constructed by enforcing an exact low-frequency modal asymptotic behavior, possibly including higher order dc zeros. These zeros are preserved in any stage of rational fitting and passivity enforcement, resulting in dc and low-frequency compliant compressed passive macromodels. Numerical results with up to 400 ports demonstrate the superior performance and accuracy of the computed models with respect to state-of-the-art approaches. In particular, the resulting models preserve their accuracy irrespective of the loading conditions, including the limit cases of short and open terminations.de_DE
tuhh.publisher.doi10.1109/TEMC.2022.3176093-
tuhh.publication.instituteTheoretische Elektrotechnik E-18de_DE
tuhh.identifier.doi10.15480/882.4700-
tuhh.type.opus(wissenschaftlicher) Artikel-
dc.type.driverarticle-
dc.type.casraiJournal Article-
tuhh.container.issue5de_DE
tuhh.container.volume64de_DE
tuhh.container.startpage1365de_DE
tuhh.container.endpage1379de_DE
dc.rights.nationallicensefalsede_DE
dc.identifier.scopus2-s2.0-85131744872de_DE
local.status.inpressfalsede_DE
local.type.versionpublishedVersionde_DE
datacite.resourceTypeArticle-
datacite.resourceTypeGeneralJournalArticle-
item.openairetypeArticle-
item.creatorOrcidStefano, Marco de-
item.creatorOrcidWendt, Torben-
item.creatorOrcidYang, Cheng-
item.creatorOrcidGrivet-Talocia, Stefano-
item.creatorOrcidSchuster, Christian-
item.grantfulltextopen-
item.creatorGNDStefano, Marco de-
item.creatorGNDWendt, Torben-
item.creatorGNDYang, Cheng-
item.creatorGNDGrivet-Talocia, Stefano-
item.creatorGNDSchuster, Christian-
item.languageiso639-1en-
item.fulltextWith Fulltext-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.mappedtypeArticle-
crisitem.author.deptTheoretische Elektrotechnik E-18-
crisitem.author.deptTheoretische Elektrotechnik E-18-
crisitem.author.deptTheoretische Elektrotechnik E-18-
crisitem.author.orcid0000-0001-8981-5940-
crisitem.author.orcid0000-0002-3284-7375-
crisitem.author.orcid0000-0001-9184-5030-
crisitem.author.orcid0000-0002-5463-3810-
crisitem.author.orcid0000-0003-4019-0788-
crisitem.author.parentorgStudiendekanat Elektrotechnik, Informatik und Mathematik (E)-
crisitem.author.parentorgStudiendekanat Elektrotechnik, Informatik und Mathematik (E)-
crisitem.author.parentorgStudiendekanat Elektrotechnik, Informatik und Mathematik (E)-
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