Nonlinear Behavioral Modeling Dependent on Load Reflection Coefficient Magnitude

DC FieldValueLanguage
dc.contributor.authorCai, Jialin-
dc.contributor.authorKing, Justin B.-
dc.contributor.authorZhu, Anding-
dc.contributor.authorPedro, José C.-
dc.contributor.authorBrazil, Thomas J.-
dc.date.accessioned2021-03-31T11:17:17Z-
dc.date.available2021-03-31T11:17:17Z-
dc.date.copyright2015 IEEEen_US
dc.date.issued2015-05-
dc.identifier.citationIEEE Transactions on Microwave Theory and Techniquesen_US
dc.identifier.issn0018-9480-
dc.identifier.urihttp://hdl.handle.net/10197/12076-
dc.description.abstractA new frequency-domain nonlinear behavioral modeling technique is presented and validated in this paper. This technique extends existing Padé and poly-harmonic distortion models by including the load reflection magnitude, ΓL, as a parameter. Although a rigorous approach requires a full 2-D load-pull model to cover the entire Smith chart, simulation and experimental evidence have shown that such a 1-D model - that retains only amplitude information of the load reflection coefficient - can give accuracy close to that of a full 2-D load-pull model. Consequently, neglecting the phase constitutes an approximation that provides large benefits without appearing to lead to a severe compromise in accuracy. Furthermore, compared with traditional load-independent models, the new ΓL-dependent models provide a major improvement in model accuracy. After a discussion of the model extraction methodology, examples are provided comparing traditional load-pull X-parameter models with the model presented in this paper. The new model not only provides consistently good accuracy, but also has a much smaller model file size. Along with the examples that display the ability of the new modeling technique to predict fundamental frequency behavioral, a second harmonic example is also provided. The modeling approach is also validated using measurements results.en_US
dc.description.sponsorshipScience Foundation Irelanden_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.rights2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en_US
dc.subjectLoad-pull modelen_US
dc.subjectNonlinearen_US
dc.subjectPade modelen_US
dc.subjectPoly-harmonic distortion (PHD) modelen_US
dc.titleNonlinear Behavioral Modeling Dependent on Load Reflection Coefficient Magnitudeen_US
dc.typeJournal Articleen_US
dc.internal.authorcontactotheranding.zhu@ucd.ieen_US
dc.statusPeer revieweden_US
dc.identifier.volume63en_US
dc.identifier.issue5en_US
dc.identifier.startpage1518en_US
dc.identifier.endpage1529en_US
dc.identifier.doi10.1109/TMTT.2015.2416232-
dc.neeo.contributorCai|Jialin|aut|-
dc.neeo.contributorKing|Justin B.|aut|-
dc.neeo.contributorZhu|Anding|aut|-
dc.neeo.contributorPedro|José C.|aut|-
dc.neeo.contributorBrazil|Thomas J.|aut|-
dc.date.updated2021-03-28T14:37:26Z-
dc.rights.licensehttps://creativecommons.org/licenses/by-nc-nd/3.0/ie/en_US
item.fulltextWith Fulltext-
item.grantfulltextopen-
Appears in Collections:Electrical and Electronic Engineering Research Collection
Files in This Item:
File Description SizeFormat 
07079512_prepublising version.pdf3.16 MBAdobe PDFDownload
Show simple item record

Page view(s)

42
checked on Apr 11, 2021

Download(s)

10
checked on Apr 11, 2021

Google ScholarTM

Check

Altmetric


If you are a publisher or author and have copyright concerns for any item, please email research.repository@ucd.ie and the item will be withdrawn immediately. The author or person responsible for depositing the article will be contacted within one business day.