DocumentCode :
1286996
Title :
Compact and Passive Parametric Macromodeling Using Reference Macromodels and Positive Interpolation Operators
Author :
Ferranti, Francesco ; Dhaene, Tom ; Knockaert, Luc
Author_Institution :
Dept. of Inf. Technol., Ghent Univ., Ghent, Belgium
Volume :
2
Issue :
12
fYear :
2012
Firstpage :
2080
Lastpage :
2088
Abstract :
We present an enhanced parametric macromodeling method that is able to generate compact and passive models over the entire design space of interest. It starts from a discrete set of data samples of the input-output system behavior (e.g., admittance, impedance, and scattering parameters), which depend on multiple design variables such as layout and substrate parameters. The proposed approach generates accurate parametric macromodels whose size is not affected by the number of design parameters in addition to frequency. Stability and passivity are preserved over the design space of interest. Pertinent numerical results validate the proposed parametric macromodeling methods.
Keywords :
interpolation; network synthesis; design space of interest; enhanced parametric macromodeling method; input-output system behavior; multiple design variables; passive parametric macromodeling; positive interpolation operators; reference macromodels; substrate parameters; Accuracy; Computational modeling; Interpolation; Modeling; Parametric statistics; Stability analysis; Compact models; interpolation; parametric macromodeling; passivity; rational approximation;
fLanguage :
English
Journal_Title :
Components, Packaging and Manufacturing Technology, IEEE Transactions on
Publisher :
ieee
ISSN :
2156-3950
Type :
jour
DOI :
10.1109/TCPMT.2012.2213086
Filename :
6305467
Link To Document :
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