DocumentCode
1077076
Title
Analytical Expressions for High-Frequency VLSI Interconnect Impedance Extraction in the Presence of a Multilayer Conductive Substrate
Author
Srivastava, Navin ; Suaya, Roberto ; Banerjee, Kaustav
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of California, Santa Barbara, CA
Volume
28
Issue
7
fYear
2009
fDate
7/1/2009 12:00:00 AM
Firstpage
1047
Lastpage
1060
Abstract
We propose an efficient method to accurately compute the frequency-dependent impedance of VLSI interconnects in the presence of multilayer conductive substrates. The resulting accuracy (errors less than 3%) and CPU time reduction (more than an order of magnitude) emerge from three different ingredients: a 2-D Green´s function approach with the correct quasi-static limit, a modified discrete complex images approximation to the Green´s function, and a continuous dipole expansion to evaluate the magnetic vector potential at the short distances that are relevant to VLSI interconnects. This approach permits the evaluation of the self-impedance and mutual-impedance of multi-conductor current loops, including substrate effects, in terms of easily computable analytical expressions that involve their relative separations and the electromagnetic parameters of the multilayer substrate.
Keywords
Green´s function methods; VLSI; electric impedance; integrated circuit interconnections; millimetre wave integrated circuits; multilayers; 2-D Green function; CPU time reduction; continuous dipole expansion; electromagnetic parameters; high-frequency VLSI interconnect; impedance extraction; modified discrete complex images approximation; multiconductor current loops; multilayer conductive substrate; mutual impedance; self-impedance; substrate effects; Green´s function; VLSI interconnect; high frequency; impedance; magnetic dipole; parasitic extraction; substrate;
fLanguage
English
Journal_Title
Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on
Publisher
ieee
ISSN
0278-0070
Type
jour
DOI
10.1109/TCAD.2009.2017432
Filename
5075816
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