DPD 和 PA 建模
用于数字预失真和功率放大器建模的 AI
使用神经网络对功率放大器 (PA) 进行建模。为了抵消 PA 中的非线性效应,您可以使用神经网络对输入信号应用数字预失真 (DPD)。有关工作流的描述,请参阅AI for Digital Predistortion Design。

主题
- AI for Digital Predistortion Design
Example workflows for training, compressing, and using a deep learning network for digital predistortion design. (自 R2024a 起)
- 步骤 1: Data Preparation for Neural Network Digital Predistortion Design
- 步骤 2: Neural Network for Digital Predistortion Design-Offline Training
- 步骤 3: Neural Network for Digital Predistortion Design - Online Training
- 步骤 4: Structurally Compress Neural Network DPD Using Projection
- 步骤 5: HDL Neural Network Design for Digital Predistorter (Wireless HDL Toolbox)
- 步骤 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. (自 R2024a 起)