DocumentCode
453460
Title
Scalable compact models for embedded passives
Author
Lee, Kok-Yan ; Mohammadi, Saeed ; Bhattacharya, Pallab K. ; Katehi, Linda P B
Author_Institution
Michigan Univ., Ann Arbor, MI, USA
Volume
1
fYear
2005
fDate
4-6 Oct. 2005
Abstract
This paper presents a new comprehensive methodology for the development of scalable models for embedded passives. These models are derived from fundamental lossy transmission line theory. Using Taylor´s series and continued fractions approximation, very accurate second and third order intrinsic capacitor and inductor models have been demonstrated. With the second order model, we are able to match the measured response up to the first resonance frequency. With the third order models, we are able to match the measured response beyond the first resonance frequency. The wideband accuracy provided by the third or higher order intrinsic models are necessary in transient and harmonic frequency analysis. The parameter extraction does not require any optimization and is accurate and unambiguous. The third order continued fractions model, introduced in this paper, matches the frequency dependent non-linear effects observed in the passives without a need for frequency dependent elements.
Keywords
approximation theory; capacitors; inductors; semiconductor device models; transmission line theory; Taylor series; continued fractions approximation; embedded passives; frequency dependent elements; frequency dependent nonlinear effects; fundamental lossy transmission line theory; harmonic frequency analysis; inductor models; intrinsic capacitor models; parameter extraction; resonance frequency; scalable compact models; transient frequency analysis; Capacitors; Frequency dependence; Frequency measurement; Inductors; Propagation losses; Resonance; Resonant frequency; Taylor series; Transmission line measurements; Transmission line theory;
fLanguage
English
Publisher
ieee
Conference_Titel
Microwave Conference, 2005 European
Print_ISBN
2-9600551-2-8
Type
conf
DOI
10.1109/EUMC.2005.1608874
Filename
1608874
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