A Comparative Study of Deep Learning and Iterative Algorithms for Joint Channel Estimation and Signal Detection in OFDM Systems
Home Page: https://www.sciencedirect.com/science/article/pii/S0165168424001737
License: MIT License
Code for the paper
"A Comparative Study of Deep Learning and Iterative Algorithms for Joint Channel Estimation and Signal Detection in OFDM Systems", Signal Processing 223 (2024), 109554., [arxiv version]
We evaluate three DL methods: DeepRx, a lightweight DenseNet adapted to JCESD, and a new unrolled dynamics(UD) model called Hyper-WienerNet, which uses hypernetworks to estimate unknown parameters.
您好，很感谢您的工作。工程里的/GenerateH/NewRadioPDSCHThroughputExample.m只能生成Ideal_H_CDLA_5Hz_30ns.mat一个数据集，请问其他数据集应该如何生成，可以讲解或者提供一下吗
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