接收机算法
R2026aAI 原生接收机、信道估计及其他接收机组件
以下示例演示了可用于各种接收机算法的 AI 技术。
精选示例
Verify Performance of 6G AI-Native Receiver Using MATLAB and PyTorch Coexecution
Integrate a trained PyTorch® network with MATLAB®-based data generation to simulate an AI-native air interface.
AI-Native Fully Convolutional Receiver
Use a convolutional neural network to replace conventional channel estimation, equalization, and symbol demodulation.
Training and Testing a Neural Network for LLR Estimation
Generate signals and channel impairments to train a neural network, called LLRNet, to estimate exact log likelihood ratios (LLR).
Train Low Complexity CNN for 5G SISO Channel Estimation
Train convolutional neural network (CNN) to perform channel estimation in SISO mode using the PDSCH DM-RS.
