DPD および PA のモデル化
ニューラル ネットワークを使用してパワー アンプ (PA) をモデル化します。PA の非線形性の影響を相殺するために、ニューラル ネットワークを使用して入力信号にデジタル プリディストーション (DPD) を適用できます。ワークフローの説明については、AI for Digital Predistortion Design (Communications Toolbox)を参照してください。
トピック
- AI for Digital Predistortion Design (Communications Toolbox)
Example workflows for training, compressing, and using a deep learning network for digital predistortion design. (R2024a 以降)
- ステップ 1: Data Preparation for Neural Network Digital Predistortion Design (Communications Toolbox)
- ステップ 2: Neural Network for Digital Predistortion Design-Offline Training (Communications Toolbox)
- ステップ 3: Neural Network for Digital Predistortion Design - Online Training (Communications Toolbox)
- ステップ 4: Structurally Compress Neural Network DPD Using Projection (Communications Toolbox)
- ステップ 5: HDL Neural Network Design for Digital Predistorter (Wireless HDL Toolbox)
- ステップ 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. (R2024a 以降)
注目の例
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.
