Modélisation de la prédistorsion numérique et d’amplificateurs de puissance

L’IA pour la modélisation de la prédistorsion numérique (DPD) et des amplificateurs de puissance (PA)

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.

NN-DPD deployed in a communications system

Pour une description du workflow, veuillez consulter AI for Digital Predistortion Design.

Rubriques

AI for Digital Predistortion Design

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
- ÉTAPE 2: Neural Network for Digital Predistortion Design-Offline Training
- ÉTAPE 3: Neural Network for Digital Predistortion Design - Online Training
- ÉTAPE 4: Structurally Compress Neural Network DPD Using Projection
- ÉTAPE 5: HDL Neural Network Design for Digital Predistorter (Wireless HDL Toolbox)
- ÉTAPE 6: Deploy and Verify HDL Neural Network Based DPD on FPGA (SoC Blockset)
Power Amplifier Modeling using Neural Networks
Model a power amplifier (PA) using several different neural network (NN) architectures. (depuis R2024a)

Exemples présentés

Nouveau

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).

Depuis R2024a

Ouvrir le live script

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.

Ouvrir le live script

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.

Ouvrir le live script

Nouveau

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.

Depuis R2024a

Ouvrir le live script

Nouveau

Power Amplifier Modeling using Neural Networks

Model a power amplifier (PA) using several different neural network (NN) architectures.

Depuis R2024a

Ouvrir le live script

HDL Neural Network Design for Digital Predistorter

Use neural-network-based (NN-based) digital predistorter (DPD) to compensate effects of nonlinearities in power amplifier.

Deploy and Verify HDL Neural Network Based DPD on FPGA

Deploy neural-network-based digital predistorter (NN DPD) algorithm and verify using OFDM signal.