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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2012-09-01
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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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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 |
work_keys_str_mv |
AT rkazemzadeh automatedparametricalantennamodellingforambientassistedlivingapplications AT wjohn automatedparametricalantennamodellingforambientassistedlivingapplications AT wmathis automatedparametricalantennamodellingforambientassistedlivingapplications |
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1725836670437163008 |