Novel algorithms for the characterization of n-port networks by using a two-port network analyzer

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Will, B.; Rolfes, I.; Schiek, B.: Novel algorithms for the characterization of n-port networks by using a two-port network analyzer. In: Advances in Radio Science 5 (2007), S. 13-17. DOI: https://doi.org/10.5194/ars-5-13-2007

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/1497

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Sum total of downloads: 102




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Abstract: 
The measurement of the scattering matrices of n-port networks is an important task. For this purpose two ports of the n-port network are connected with the network analyzer and the remaining ports are connected to reflecting terminations. In order to specify the scattering matrix of a n-port network with the multi-port method (Rolfes et al., 2005), n reflecting terminations are required from which at least one reflection factor needs to be known. There are some cases, in which the multi-port method shows weak convergence properties. For example, a T-junction cannot be identified if the reflecting terminations used are short circuits and if the line length is equivalent to a multiple of a half wavelength. This is due to the fact that the two ports connected to the network analyzer become isolated. Two new algorithms, named the sub-determinant method and the wave-identification method, respectively, which employ a second set of reflection terminations that have to differ from the first set, allow to identify every n-port network without the necessity to distinguish different cases. Both methods are based on least square algorithms and allow to determine all scattering parameters of a n-port-network directly and uniquely.
License of this version: CC BY-NC-SA 2.5 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2007
Appears in Collections:Fakultät für Elektrotechnik und Informatik

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pos. country downloads
total perc.
1 image of flag of Germany Germany 37 36.27%
2 image of flag of United States United States 23 22.55%
3 image of flag of China China 9 8.82%
4 image of flag of Russian Federation Russian Federation 3 2.94%
5 image of flag of Canada Canada 3 2.94%
6 image of flag of Taiwan Taiwan 2 1.96%
7 image of flag of Netherlands Netherlands 2 1.96%
8 image of flag of United Kingdom United Kingdom 2 1.96%
9 image of flag of Switzerland Switzerland 2 1.96%
10 image of flag of Austria Austria 2 1.96%
    other countries 17 16.67%

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