Non-Linear Statistical Modelling of GaAs FET Integrated Circuits Using Principal Component Analysis Abstract

Balsi, Marco ; Centurelli, F. ; Forte, Alessandra ; Scotti, Giuseppe ; Tommasino, Pasquale ; Trifiletti, Alessandro (2003) Non-Linear Statistical Modelling of GaAs FET Integrated Circuits Using Principal Component Analysis Abstract. In: Gallium Arsenide applications symposium. GAAS 2003, 6-10 October 2003, Munich.
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Abstract

A statistical non-linear model of GaAs FET MMIC ’s which makes use of principal components to describe distance-dependent variations of technological parameters is presented.The proposed model is composed of a nominal non-linear model for the GaAs FET and a correlation matrix which accounts for correlation among parameters of the active devices on the MMIC.The correlation matrix is orthogonalised and reduced by using the Principal Component Analysis (PCA)technique. Capability to reproduce statistical distribution has been checked by comparing measured and modelled S-parameters in the 1-50 GHz frequency range by means of hypothesis tests of equivalence.

Abstract
Document type
Conference or Workshop Item (Paper)
Creators
CreatorsAffiliationORCID
Balsi, Marco
Centurelli, F.
Forte, Alessandra
Scotti, Giuseppe
Tommasino, Pasquale
Trifiletti, Alessandro
Subjects
DOI
Deposit date
17 Jun 2004
Last modified
17 Feb 2016 13:51
URI

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