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

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dc.creator Daniel, Luca
dc.creator White, Jacob K.
dc.date 2003-12-14T22:28:59Z
dc.date 2003-12-14T22:28:59Z
dc.date 2004-01
dc.date.accessioned 2013-10-09T02:32:55Z
dc.date.available 2013-10-09T02:32:55Z
dc.date.issued 2013-10-09
dc.identifier http://hdl.handle.net/1721.1/3879
dc.identifier.uri http://koha.mediu.edu.my:8181/xmlui/handle/1721
dc.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.
dc.description Singapore-MIT Alliance (SMA)
dc.format 278910 bytes
dc.format application/pdf
dc.language en_US
dc.relation High Performance Computation for Engineered Systems (HPCES);
dc.subject RF-inductor synthesis
dc.subject RF-inductor design
dc.subject RF inductor optimization
dc.subject parameterized model order reduction
dc.subject parameterized reduced order modeling
dc.subject modeling
dc.title Automatic Generation of Geometrically Parameterized Reduced Order Models for Integrated Spiral RF-Inductors
dc.type Article


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