Impact of Partition Schemes in Loewner Matrix Macromodeling

Chiu Chih Chou, Thong Nguyen, Jose E. Schutt-Aine

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The first step in Loewner matrix macromodeling is to partition the data into two parts. Previous research has shown that different partition schemes, although theoretically equivalent, may significantly affect matrix condition numbers. The impact of such ill-conditioning on the frequency and time domain responses of the macromodel, however, has been less addressed in the literature. In this paper, we clarify the importance of good conditioning for an accurate modeling in frequency and time domains, and compare different partition schemes using simulated and measured S parameters. The results demonstrate that with the bad schemes, the practically allowable bandwidth of the model will be greatly limited.

Original languageEnglish (US)
Title of host publicationProceedings - IEEE Electrical Design of Advanced Packaging and Systems, EDAPS 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728194127
DOIs
StatePublished - Dec 14 2020
Externally publishedYes
Event2020 IEEE Electrical Design of Advanced Packaging and Systems, EDAPS 2020 - Virtual, Shenzhen, China
Duration: Dec 14 2020Dec 16 2020

Publication series

NameIEEE Electrical Design of Advanced Packaging and Systems Symposium
Volume2020-December
ISSN (Print)2151-1225
ISSN (Electronic)2151-1233

Conference

Conference2020 IEEE Electrical Design of Advanced Packaging and Systems, EDAPS 2020
Country/TerritoryChina
CityVirtual, Shenzhen
Period12/14/2012/16/20

Keywords

  • Interpolation
  • Loewner matrices
  • macromodeling

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Automotive Engineering
  • General Computer Science

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