DPD und PA-Modellierung
Modellieren Sie einen Leistungsverstärker (PA) mithilfe eines neuronalen Netzes. Um die Effekte von Nichtlinearitäten bei einem Leistungsverstärker auszugleichen, können Sie ein neuronales Netz verwenden, um eine digitale Vorverzerrung (DPD) an das Eingangssignal anzulegen.Eine Beschreibung des Workflows finden Sie unter AI for Digital Predistortion Design (Communications Toolbox).
Themen
- AI for Digital Predistortion Design (Communications Toolbox)
Example workflows for training, compressing, and using a deep learning network for digital predistortion design. (Seit R2024a)
- SCHRITT 1: Data Preparation for Neural Network Digital Predistortion Design (Communications Toolbox)
- SCHRITT 2: Neural Network for Digital Predistortion Design-Offline Training (Communications Toolbox)
- SCHRITT 3: Neural Network for Digital Predistortion Design - Online Training (Communications Toolbox)
- SCHRITT 4: Structurally Compress Neural Network DPD Using Projection (Communications Toolbox)
- SCHRITT 5: HDL Neural Network Design for Digital Predistorter (Wireless HDL Toolbox)
- SCHRITT 6: Deploy and Verify HDL Neural Network Based DPD on FPGA (SoC Blockset)
- Power Amplifier Modeling Using Neural Networks (Communications Toolbox)
Model a power amplifier (PA) using several different neural network (NN) architectures. (Seit R2024a)
Enthaltene Beispiele
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.
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.
