Using efficient multivariate adaptive sampling by minimizing the number of computational electromagnetic analysis needed to establish accurate interpolation models

Author

Lehmensiek, R. ; Meyer, P.

Author_Institution

Reutech Radar Syst., Stellenbosch, South Africa

Volume

3

fYear

2001

fDate

20-24 May 2001

Firstpage

1749

Abstract

An efficient multivariate adaptive sampling algorithm based on rational interpolation, that establishes accurate surrogate models of microwave circuits, is presented. The technique optimally samples the parameter space in order to minimize the number of CEM analyses, without assuming any a priori knowledge of the data. The technique is evaluated on passive microwave structures.

Keywords

S-parameters; adaptive estimation; circuit complexity; circuit simulation; convergence of numerical methods; interpolation; microstrip circuits; mode matching; rational functions; sampling methods; S parameters; Thiele-type fraction; accurate interpolation models; accurate surrogate models; adaptive sampling algorithm; computational EM analysis minimization; convergence; efficient multivariate adaptive sampling; iris in rectangular waveguide; microwave circuits; mode matching; optimal sampling; parameter space; passive microwave structures; rational interpolation; stripline characteristic impedance; Africa; Algorithm design and analysis; Circuit analysis computing; Computational electromagnetics; Computational modeling; Electromagnetic analysis; Electromagnetic modeling; Interpolation; Polynomials; Sampling methods;

fLanguage

English

Publisher

ieee

Conference_Titel

Microwave Symposium Digest, 2001 IEEE MTT-S International

Conference_Location

Phoenix, AZ, USA

ISSN

0149-645X

Print_ISBN

0-7803-6538-0

Type

conf

DOI

10.1109/MWSYM.2001.967244

Filename

967244