DemodNet: Learning soft demodulation from hard information using convolutional neural network

S Zheng, X Zhou, S Chen, P Qi, C Lou… - ICC 2022-IEEE …, 2022 - ieeexplore.ieee.org
Soft demodulation is a basic module of traditional communication receivers. It converts
received symbols into soft bits, that is, log likelihood ratios (LLRs). However, in the non-ideal …
被引用次数：14 相关文章

DemodNet: Learning Soft Demodulation from Hard Information Using Convolutional Neural Network

S Zheng, X Zhou, S Chen, P Qi, X Yang - arXiv preprint arXiv:2011.11337, 2020 - arxiv.org
Soft demodulation is a basic module of traditional communication receivers. It converts
received symbols into soft bits, that is, log likelihood ratios (LLRs). However, in the nonideal …

DemodNet: Learning Soft Demodulation from Hard Information Using Convolutional Neural Network

S Zheng, X Zhou, S Chen, P Qi, X Yang - arXiv e-prints, 2020 - ui.adsabs.harvard.edu
Soft demodulation is a basic module of traditional communication receivers. It converts
received symbols into soft bits, that is, log likelihood ratios (LLRs). However, in the nonideal …