DocumentCode :
1311946
Title :
Synthesis of Perfectly Causal Parameterized Compact Models for Planar Transmission Lines
Author :
Rautio, James C. ; LeRoy, Mitchell R. ; Rautio, Brian J.
Author_Institution :
Sonnet Software Inc., North Syracuse, NY, USA
Volume :
57
Issue :
12
fYear :
2009
Firstpage :
2938
Lastpage :
2947
Abstract :
Per-unit-length series impedance and shunt admittance are extracted from electromagnetic analysis of a transmission line at a few discrete frequencies. Compact models are synthesized from the per-unit-length extraction. The lumped models are then used to rapidly calculate characteristic impedance, effective dielectric constant, and RLGC parameters at all frequencies, including dispersion and loss. The resulting models are perfectly physically (i.e., speed of light) causal, a critical consideration for time-domain analysis. To demonstrate feasibility, the models are parameterized as a function of transmission linewidth. Total error is carefully quantified and is typically less than 1%. The process is demonstrated for several planar transmission lines. New concepts, ??modal?? and ??environmental?? sensitivity, are introduced and quantified.
Keywords :
electric impedance measurement; lumped parameter networks; permittivity measurement; time-domain analysis; transmission lines; RLGC parameters; characteristic impedance calculation; dielectric constant; dielectric constant calculation; electromagnetic analysis; lumped model; parameterized compact model; per-unit-length series impedance; planar transmission lines; shunt admittance extraction; time-domain analysis; RLGC; Causality; characteristic impedance; compact models; electromagnetic (EM) analysis; lumped models; method of moments; microstrip; model extraction; model synthesis; model-order reduction; reduced-order systems; transmission line;
fLanguage :
English
Journal_Title :
Microwave Theory and Techniques, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9480
Type :
jour
DOI :
10.1109/TMTT.2009.2034045
Filename :
5325865
Link To Document :
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