On the Acceleration of the Vector Fitting for Multiport Large-Scale Macromodeling

Chiu Chih Chou, Jose E. Schutt-Aine

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Vector fitting (VF) is a robust macromodeling method to construct rational models of a network based on tabulated frequency responses. When fitting a network with a large number of ports, the matrix equation in VF quickly grows into a formidable size. The conventional strategy is to break the equation into several small QR factorizations and then combine the results into a least-squares (LS) problem. In this letter, an alternative solution procedure is proposed, the complexity of which is 2.7 times smaller than the conventional approach in terms of floating-point operations (FLOPs). Test cases of 40-200-port data show that the actual computing time can be reduced by as much as 85%, which presents a considerable saving for large-scale problems.

Original languageEnglish
Article number9258942
Pages (from-to)1-4
Number of pages4
JournalIEEE Microwave and Wireless Components Letters
Volume31
Issue number1
DOIs
StatePublished - Jan 2021

Keywords

  • Macromodeling
  • numerical techniques
  • system identification
  • vector fitting (VF)

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