Automated parametrical antenna modelling for ambient assisted living applications

In this paper a parametric modeling technique for a fast polynomial extraction of the physically relevant parameters of inductively coupled RFID/NFC (radio frequency identification/near field communication) antennas is presented. The polynomial model equations are obtained by means of a three-step p...

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Main Authors: R. Kazemzadeh, W. John, W. Mathis
Format: Article
Language:deu
Published: Copernicus Publications 2012-09-01
Series:Advances in Radio Science
Online Access:http://www.adv-radio-sci.net/10/127/2012/ars-10-127-2012.pdf
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spelling doaj-2450739153fc4231bb6a3b85aca7b65a2020-11-24T22:02:17ZdeuCopernicus PublicationsAdvances in Radio Science 1684-99651684-99732012-09-011012713310.5194/ars-10-127-2012Automated parametrical antenna modelling for ambient assisted living applicationsR. Kazemzadeh0W. John1W. Mathis2Institute for Theoretical Electrical Engineering, Hannover, GermanyInstitute for Theoretical Electrical Engineering, Hannover, GermanyInstitute for Theoretical Electrical Engineering, Hannover, GermanyIn this paper a parametric modeling technique for a fast polynomial extraction of the physically relevant parameters of inductively coupled RFID/NFC (radio frequency identification/near field communication) antennas is presented. The polynomial model equations are obtained by means of a three-step procedure: first, full Partial Element Equivalent Circuit (PEEC) antenna models are determined by means of a number of parametric simulations within the input parameter range of a certain antenna class. Based on these models, the RLC antenna parameters are extracted in a subsequent model reduction step. Employing these parameters, polynomial equations describing the antenna parameter with respect to (w.r.t.) the overall antenna input parameter range are extracted by means of polynomial interpolation and approximation of the change of the polynomials' coefficients. The described approach is compared to the results of a reference PEEC solver with regard to accuracy and computation effort.http://www.adv-radio-sci.net/10/127/2012/ars-10-127-2012.pdf
collection DOAJ
language deu
format Article
sources DOAJ
author R. Kazemzadeh
W. John
W. Mathis
spellingShingle R. Kazemzadeh
W. John
W. Mathis
Automated parametrical antenna modelling for ambient assisted living applications
Advances in Radio Science
author_facet R. Kazemzadeh
W. John
W. Mathis
author_sort R. Kazemzadeh
title Automated parametrical antenna modelling for ambient assisted living applications
title_short Automated parametrical antenna modelling for ambient assisted living applications
title_full Automated parametrical antenna modelling for ambient assisted living applications
title_fullStr Automated parametrical antenna modelling for ambient assisted living applications
title_full_unstemmed Automated parametrical antenna modelling for ambient assisted living applications
title_sort automated parametrical antenna modelling for ambient assisted living applications
publisher Copernicus Publications
series Advances in Radio Science
issn 1684-9965
1684-9973
publishDate 2012-09-01
description In this paper a parametric modeling technique for a fast polynomial extraction of the physically relevant parameters of inductively coupled RFID/NFC (radio frequency identification/near field communication) antennas is presented. The polynomial model equations are obtained by means of a three-step procedure: first, full Partial Element Equivalent Circuit (PEEC) antenna models are determined by means of a number of parametric simulations within the input parameter range of a certain antenna class. Based on these models, the RLC antenna parameters are extracted in a subsequent model reduction step. Employing these parameters, polynomial equations describing the antenna parameter with respect to (w.r.t.) the overall antenna input parameter range are extracted by means of polynomial interpolation and approximation of the change of the polynomials' coefficients. The described approach is compared to the results of a reference PEEC solver with regard to accuracy and computation effort.
url http://www.adv-radio-sci.net/10/127/2012/ars-10-127-2012.pdf
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