Dynamic Constraints for Large-Signal Measurements on Arbitrary Grids

Paweł Barmuta , F. Ferranti , Arkadiusz Lewandowski , Dominique M. M.-P. Schreurs

Abstract

This paper presents a novel method of dynamic constraints, which allows safe large-signal measurements on arbitrary grids of samples. The method is a generalization of popular sweeps, and alike, it is based on the monotonic relationships linking some of the input variables with the setup degradation level. However, the knowledge of exact physical mechanisms is not required, which makes dynamic constraints applicable to wide range of experiments. The detailed explanation of the dynamic constraints principles and implementation is provided. Two cases are analyzed depending whether the degradation level is a monotonic function of all the experiment's input variables or only some of them. The method is assessed on 6 × 50 μm GaAs HEMT large-signal measurements with the sparse grid of samples generated with adaptive sampling methods. Thanks to dynamic constraints, none of the samples seriously violated the constraints, even though no a priori knowledge about the device behavior was available. No significant device degradation is observed in the measurements.
Author Paweł Barmuta ISE
Paweł Barmuta,,
- The Institute of Electronic Systems
, F. Ferranti
F. Ferranti,,
-
, Arkadiusz Lewandowski ISE
Arkadiusz Lewandowski,,
- The Institute of Electronic Systems
, Dominique M. M.-P. Schreurs
Dominique M. M.-P. Schreurs,,
-
Journal seriesIEEE Transactions on Microwave Theory and Techniques, ISSN 0018-9480
Issue year2016
Vol64
No11
Pages3956-3964
Publication size in sheets0.5
Keywords in EnglishAdaptive sampling, constraints, design of experiments (DoE), nonlinear measurements, sparse grid sampling
DOIDOI:10.1109/TMTT.2016.2613897
URL http://ieeexplore.ieee.org/document/7587367/authors
Languageen angielski
Score (nominal)35
ScoreMinisterial score = 35.0, 22-11-2017, ArticleFromJournal
Ministerial score (2013-2016) = 35.0, 22-11-2017, ArticleFromJournal
Publication indicators WoS Impact Factor: 2016 = 2.897 (2) - 2016=3.26 (5)
Citation count*0 (2018-06-19)
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