Automated parametrical antenna modelling for ambient assisted living applications

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Kazemzadeh, R.; John, W.; Mathis, W.: Automated parametrical antenna modelling for ambient assisted living applications. In: Advances in Radio Science 10 (2012), S. 127-133. DOI: https://doi.org/10.5194/ars-10-127-2012

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Sum total of downloads: 63




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Abstract: 
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. © 2012 Author(s).
License of this version: CC BY 3.0
Document Type: article
Publishing status: publishedVersion
Issue Date: 2012
Appears in Collections:Fakultät für Elektrotechnik und Informatik

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pos. country downloads
total perc.
1 image of flag of Germany Germany 49 77.78%
2 image of flag of China China 3 4.76%
3 image of flag of Russian Federation Russian Federation 2 3.17%
4 image of flag of Vietnam Vietnam 1 1.59%
5 image of flag of United States United States 1 1.59%
6 image of flag of Poland Poland 1 1.59%
7 image of flag of Mexico Mexico 1 1.59%
8 image of flag of United Kingdom United Kingdom 1 1.59%
9 image of flag of France France 1 1.59%
10 image of flag of Australia Australia 1 1.59%
    other countries 2 3.17%

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