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Journal ArticleDOI

A comparative overview of microwave and wireless power-amplifier behavioral modeling approaches

Jose C. Pedro, +1 more
- 18 Apr 2005 - 
- Vol. 53, Iss: 4, pp 1150-1163
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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.

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Citations
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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

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
More filters
Journal ArticleDOI

Multilayer feedforward networks are universal approximators

TL;DR: It is rigorously established that standard multilayer feedforward networks with as few as one hidden layer using arbitrary squashing functions are capable of approximating any Borel measurable function from one finite dimensional space to another to any desired degree of accuracy, provided sufficiently many hidden units are available.
Journal ArticleDOI

Approximation by superpositions of a sigmoidal function

TL;DR: It is demonstrated that finite linear combinations of compositions of a fixed, univariate function and a set of affine functionals can uniformly approximate any continuous function ofn real variables with support in the unit hypercube.
Book

Nonlinear time series analysis

TL;DR: Using nonlinear methods when determinism is weak, as well as selected nonlinear phenomena, is suggested to be a viable alternative to linear methods.
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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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