Automatic Generation of Geometrically Parameterized Reduced Order Models for Integrated Spiral RF-Inductors

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 a...

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Main Authors: Daniel, Luca, White, Jacob K.
Format: Article
Language:en_US
Published: 2003
Subjects:
Online Access:http://hdl.handle.net/1721.1/3879
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author Daniel, Luca
White, Jacob K.
author_facet Daniel, Luca
White, Jacob K.
author_sort Daniel, Luca
collection MIT
description 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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spelling mit-1721.1/38792019-04-12T13:40:50Z Automatic Generation of Geometrically Parameterized Reduced Order Models for Integrated Spiral RF-Inductors Daniel, Luca White, Jacob K. RF-inductor synthesis RF-inductor design RF inductor optimization parameterized model order reduction parameterized reduced order modeling modeling 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. Singapore-MIT Alliance (SMA) 2003-12-14T22:28:59Z 2003-12-14T22:28:59Z 2004-01 Article http://hdl.handle.net/1721.1/3879 en_US High Performance Computation for Engineered Systems (HPCES); 278910 bytes application/pdf application/pdf
spellingShingle RF-inductor synthesis
RF-inductor design
RF inductor optimization
parameterized model order reduction
parameterized reduced order modeling
modeling
Daniel, Luca
White, Jacob K.
Automatic Generation of Geometrically Parameterized Reduced Order Models for Integrated Spiral RF-Inductors
title Automatic Generation of Geometrically Parameterized Reduced Order Models for Integrated Spiral RF-Inductors
title_full Automatic Generation of Geometrically Parameterized Reduced Order Models for Integrated Spiral RF-Inductors
title_fullStr Automatic Generation of Geometrically Parameterized Reduced Order Models for Integrated Spiral RF-Inductors
title_full_unstemmed Automatic Generation of Geometrically Parameterized Reduced Order Models for Integrated Spiral RF-Inductors
title_short Automatic Generation of Geometrically Parameterized Reduced Order Models for Integrated Spiral RF-Inductors
title_sort automatic generation of geometrically parameterized reduced order models for integrated spiral rf inductors
topic RF-inductor synthesis
RF-inductor design
RF inductor optimization
parameterized model order reduction
parameterized reduced order modeling
modeling
url http://hdl.handle.net/1721.1/3879
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