Low-Pass Equivalent Behavioral Modeling of RF Power Amplifiers Using Two Independent Real-Valued Feed-Forward Neural Networks

Abstract

Feed-forward artificial neural networks (ANNs) can provide the adequate model required for the linearization of power amplifiers (PAs) used in wireless communication systems. A common characteristic of previously available ANN-based models for linearization purposes is the use of a single real-valued ANN having two outputs. The contribution of this work is… (More)

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Cite this paper

@inproceedings{Freire2014LowPassEB, title={Low-Pass Equivalent Behavioral Modeling of RF Power Amplifiers Using Two Independent Real-Valued Feed-Forward Neural Networks}, author={Luiza B. C. Freire and Caroline de França and Eduardo G. de Lima}, year={2014} }