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Modélisation de la prédistorsion numérique et d’amplificateurs de puissance
Modélisez un amplificateur de puissance (PA) avec un réseau de neurones. Pour compenser les effets des non-linéarités dans un amplificateur de puissance, vous pouvez utiliser un réseau de neurones afin d’appliquer une prédistorsion numérique au signal d’entrée.Pour une description du workflow, veuillez consulter AI for Digital Predistortion Design (Communications Toolbox).
Rubriques
- AI for Digital Predistortion Design (Communications Toolbox)
Example workflows for training, compressing, and using a deep learning network for digital predistortion design. (depuis R2024a)
- ÉTAPE 1: Data Preparation for Neural Network Digital Predistortion Design (Communications Toolbox)
- ÉTAPE 2: Neural Network for Digital Predistortion Design-Offline Training (Communications Toolbox)
- ÉTAPE 3: Neural Network for Digital Predistortion Design - Online Training (Communications Toolbox)
- ÉTAPE 4: Structurally Compress Neural Network DPD Using Projection (Communications Toolbox)
- ÉTAPE 5:
- ÉTAPE 6:
- Power Amplifier Modeling Using Neural Networks (Communications Toolbox)
Model a power amplifier (PA) using several different neural network (NN) architectures. (depuis R2024a)
Sélection d՚exemples
Compare Residual Recurrent Neural Network Structures for Digital Predistortion Design
Compare residual RNN structures for a digital predistortion (DPD) design.
Data Preparation for Neural Network Digital Predistortion Design
Prepare data for training a neural network digital predistortion (DPD) system. The DPD is used to offset the effects of nonlinearities in a power amplifier (PA).
Neural Network for Digital Predistortion Design-Offline Training
Use a neural network, that is trained offline, to apply digital predistortion to offset the effects of nonlinearities in a power amplifier.
Neural Network for Digital Predistortion Design - Online Training
Use a neural network, that is trained online, to apply digital predistortion to offset the effects of nonlinearities in a power amplifier.
Structurally Compress Neural Network DPD Using Projection
Structurally compress a neural network DPD to reduce computational complexity and memory requirements using projection and principal component analysis.
Power Amplifier Modeling Using Neural Networks
Model a power amplifier (PA) using several different neural network (NN) architectures.
