Proceedings of the 2003 IEEE International Workshop on Behavioral Modeling and Simulation
DOI: 10.1109/bmas.2003.1249851
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Automatic generation of geometrically parameterized reduced order models for integrated spiral RF-inductors

Abstract: In this paper we describe an approach to generating low-order models of spiral inductors that accurately capture the dependence on both frequency and geometry (width and spacing) parameters. The approach is based on adapting a multiparameter Krylov-subspace based moment matching method to reducing an integral equation for the three dimensional electromagnetic behavior of the spiral inductor. The approach is demonstrated on a typical on-chip rectangular inductor.

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Cited by 20 publications
(21 citation statements)
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“…(16) Using then, for instance, polynomial fitting, and introducing additional parameterss j as in II-B and [8], [9] one obtains…”
Section: Tpwl-pmormentioning
confidence: 99%
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“…(16) Using then, for instance, polynomial fitting, and introducing additional parameterss j as in II-B and [8], [9] one obtains…”
Section: Tpwl-pmormentioning
confidence: 99%
“…Some are based on statistical performance evaluation [1], [2], [3], [4], others are based on moment matching techniques [5], [6], [7], [8], [9], [10], or on Truncated Balance Realization (TBR) techniques [11], and on quasi-convex optimization techniques [12]. However, to our knowledge, almost all existing PMOR techniques apply only to linear systems.…”
Section: Introductionmentioning
confidence: 99%
“…Once we have the equations in the form of (6), a parameterization and model order reduction as described in [1,2] is used to obtain the set of equations (7) and (8):…”
Section: Modeling Rf Inductorsmentioning
confidence: 99%
“…This approach has been proposed before for interconnect delay estimation [2], [3], [10] and RF parasitics [13]. More recently, automated methods for the generation of reduced order models targeting integrated spiral inductors have been proposed [1]. The core of the approach is Krylov-subspace based moment-matching method that reduces the integral equation describing the 3D EM behavior of the inductor.…”
Section: Introductionmentioning
confidence: 99%
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