Compact Behavioral Models of Nonlinear Active Devices Using Response Surface Methodology

Paweł Barmuta , Francesco Ferranti , Gian Piero Gibiino , Arkadiusz Lewandowski , DMM-P Schreurs,


This paper presents the response surface methodology in modeling of nonlinear microwave devices. First, different combinations of sampling techniques and types of radial basis functions are evaluated in simulations of the drain current of a 0.15- μm GaAs HEMT transistor described by the Chalmers model. It allows to determine the best settings of the response surface methodology for the modeling of active microwave devices. It is shown that the best sampling strategy is a combination of space-exploration (Voronoi), problem-exploitation (LOLA), and model-error-driven sample rankers. From the various radial basis function models, the fastest convergence is achieved with exponential functions. This knowledge is then used in behavioral modeling of a low-power amplifier AG303 measured in the load-pull setup. It is shown that the response surface methodology outperforms commonly used factorial design of experiments. Moreover, it gives accurate models within just a few tens of samples. However, attention has to be paid at the noisy regions, which might be oversampled by the sampling techniques.
Author Paweł Barmuta (FEIT / PE)
Paweł Barmuta,,
- The Institute of Electronic Systems
, Francesco Ferranti - [Vrije University Brussel]
Francesco Ferranti,,
- Vrije Universiteit Brussel
, Gian Piero Gibiino - [KU Leuven]
Gian Piero Gibiino,,
, Arkadiusz Lewandowski (FEIT / PE)
Arkadiusz Lewandowski,,
- The Institute of Electronic Systems
, DMM-P Schreurs,
DMM-P Schreurs,,,
Journal seriesIEEE Transactions on Microwave Theory and Techniques, ISSN 0018-9480, (A 35 pkt)
Issue year2015
Publication size in sheets0.5
Keywords in English Active device modeling behavioral modeling experimental design load pull response surface
ASJC Classification2208 Electrical and Electronic Engineering; 3104 Condensed Matter Physics; 3108 Radiation
Languageen angielski
Score (nominal)35
Score sourcejournalList
ScoreMinisterial score = 35.0, 19-12-2019, ArticleFromJournal
Ministerial score (2013-2016) = 35.0, 19-12-2019, ArticleFromJournal
Publication indicators Scopus Citations = 14; WoS Citations = 12; Scopus SNIP (Source Normalised Impact per Paper): 2015 = 2.006; WoS Impact Factor: 2015 = 2.284 (2) - 2015=2.36 (5)
Citation count*16 (2020-01-24)
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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