Concurrent Surrogate Modeling and Adaptive Sampling in Load-Pull Measurements

P. Barmuta, Francesco Ferranti, Konstanty Lukasik, Arkadiusz Lewandowski, Dominique Schreurs

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

Abstract

Surrogate modeling combined with adaptive sampling allows to greatly lessen the number of samples required to reach the desired model accuracy. However, this comes at cost of substantial computational load. The cost can be limited by less frequent model extraction. This paper describes a surrogate modeling with varying intervals between the model extractions. The intervals are aligned to the sampling time in two concurrent processes. The approach has been evaluated in load-pull measurements of the unmatched gain block AG303 from TriQuint. The accuracy of the models has been preserved, while significant reduction of modeling time has been obtained.
Original languageEnglish
Title of host publicationThe International Workshop on Integrated Nonlinear Microwave and Millimetre-wave Circuits (INMMiC)
PublisherIEEE
Pages1-3
ISBN (Electronic)978-1-4673-6496-6
DOIs
Publication statusPublished - 1 Oct 2015
EventThe International Workshop on Integrated Nonlinear Microwave and Millimetre-wave Circuits (INMMiC) - Taormina, Italy
Duration: 1 Oct 20152 Oct 2015

Workshop

WorkshopThe International Workshop on Integrated Nonlinear Microwave and Millimetre-wave Circuits (INMMiC)
CountryItaly
CityTaormina
Period1/10/152/10/15

Keywords

  • adaptive sampling
  • behavioral modeling
  • load-pull

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