Journal ArticleDOI
A comparative overview of microwave and wireless power-amplifier behavioral modeling approaches
Jose C. Pedro,S. A. Maas +1 more
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TLDR
A classification of the various PA behavioral models is proposed, discussing their abilities to represent the different effects observed in practical circuits and how it was possible to integrate a wide range of behavioral modeling activities.Abstract:
This paper presents a comparative overview of the most important approaches presented to address the behavioral modeling of microwave and wireless power amplifiers (PAs). Starting from a theoretical framework of recursive and nonrecursive nonlinear filters, it proposes a classification of the various PA behavioral models, discussing their abilities to represent the different effects observed in practical circuits. Using that formal procedure, one explains how it was possible to integrate a wide range of behavioral modeling activities and to show that some of them, which at first glance seemed to be quite different, are, indeed, identical in their modeling capabilities.read more
Citations
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Nonlinear Time Series Analysis.
TL;DR: This thesis applies neural network feature selection techniques to multivariate time series data to improve prediction of a target time series and results indicate that the Stochastics and RSI indicators result in better prediction results than the moving averages.
Journal ArticleDOI
Behavioral modeling and predistortion
TL;DR: A software digital predistortion solution that enables closed-loop wideband linearization was briefly presented with excellent linearization capabilities when amplifying a 12-carrier 60-MHZ wide WCDMA signal.
Journal ArticleDOI
Dynamic Deviation Reduction-Based Volterra Behavioral Modeling of RF Power Amplifiers
TL;DR: In this paper, a new representation of the Volterra series is proposed, which is derived from a previously introduced modified VOLTERRA series, but adapted to the discrete time domain and reformulated in a novel way.
Journal ArticleDOI
A comparative analysis of behavioral models for RF power amplifiers
TL;DR: The models with memory, PH, and RBFNN, showed better cross-validation performance, in terms of lower model errors, than a static polynomial for the hardest cross validation of the 2G PA.
Journal ArticleDOI
A Comparative Analysis of the Complexity/Accuracy Tradeoff in Power Amplifier Behavioral Models
Ali Soltani Tehrani,Haiying Cao,Sepideh Afsardoost,Thomas Eriksson,Magnus Isaksson,Christian Fager +5 more
TL;DR: The results show that the generalized memory polynomial behavioral model has the best tradeoff for accuracy versus complexity for both PAs, and can obtain high performance at half of the computational cost of all other models analyzed.
References
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Multilayer feedforward networks are universal approximators
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Approximation by superpositions of a sigmoidal function
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Multilayer feedforward networks are universal approximators
HornikK.,StinchcombeM.,WhiteH. +2 more
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Nonlinear time series analysis
Holger Kantz,Thomas Schreiber +1 more
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Engineering Applications of Correlation and Spectral Analysis
TL;DR: This chapter discusses single-Input/Single-Output Relationships, nonstationary data analysis techniques, and procedures to Solve Multiple- Input/Multiple-Output Problems.
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