Joint Neural Network Equalizer and Decoder

by   Weihong Xu, et al.

Recently, deep learning methods have shown significant improvements in communication systems. In this paper, we study the equalization problem over the nonlinear channel using neural networks. The joint equalizer and decoder based on neural networks are proposed to realize blind equalization and decoding process without the knowledge of channel state information (CSI). Different from previous methods, we use two neural networks instead of one. First, convolutional neural network (CNN) is used to adaptively recover the transmitted signal from channel impairment and nonlinear distortions. Then the deep neural network decoder (NND) decodes the detected signal from CNN equalizer. Under various channel conditions, the experiment results demonstrate that the proposed CNN equalizer achieves better performance than other solutions based on machine learning methods. The proposed model reduces about 2/3 of the parameters compared to state-of-the-art counterparts. Besides, our model can be easily applied to long sequence with O(n) complexity.



There are no comments yet.


page 1

page 2

page 3

page 4


Neural Network-Aided BCJR Algorithm for Joint Symbol Detection and Channel Decoding

Recently, deep learning-assisted communication systems have achieved man...

Doubly Residual Neural Decoder: Towards Low-Complexity High-Performance Channel Decoding

Recently deep neural networks have been successfully applied in channel ...

Deep Receiver Design for Multi-carrier Waveforms Using CNNs

In this paper, a deep learning based receiver is proposed for a collecti...

Channel Estimation for Visible Light Communications Using Neural Networks

Visible light communications (VLC) is an emerging field in technology an...

Deep Transfer Learning-Assisted Signal Detection for Ambient Backscatter Communications

Existing tag signal detection algorithms inevitably suffer from a high b...

Investigating the Optimal Neural Network Parameters for Decoding

Neural Networks have been proved to work as decoders in telecommunicatio...

Performance Evaluation of Channel Decoding With Deep Neural Networks

With the demand of high data rate and low latency in fifth generation (5...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.