Systematic pruning of Volterra series using Wiener G-functionals for power amplifier and predistorter modeling

The Volterra series is a well-established technique for modeling nonlinear dynamic system. Their wide adoption in predicting the behavior of Radio Frequency Power Amplifiers has been significantly hindered by the large number of coefficients involved especially when they exhibit high order of nonlin...

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Bibliographic Details
Published in2011 6th European Microwave Integrated Circuit Conference pp. 482 - 485
Main Authors Mkadem, F., Boumaiza, S., Staudinger, J., Wood, J.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2011
Subjects
Complexity Reduction
Computational modeling
Kernel
Least squares approximation
Nonlinear dynamical systems
Polynomials
Power Amplifier Behavioural Modeling
Volterra Series
Wiener G-Functionals
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Summary:The Volterra series is a well-established technique for modeling nonlinear dynamic system. Their wide adoption in predicting the behavior of Radio Frequency Power Amplifiers has been significantly hindered by the large number of coefficients involved especially when they exhibit high order of nonlinearity and strong memory effects. In this paper, we present a new pruning approach based on Wiener G-functionals which is sought for the selection of reduced number of dominant kernels in the Volterra series.
ISBN:1612842364
9781612842363