2381/45762
Qinbo Bai
Qinbo
Bai
Jintao Wang
Jintao
Wang
Yue Zhang
Yue
Zhang
Jian Song
Jian
Song
Deep Learning based Channel Estimation Algorithm over Time Selective Fading Channels
University of Leicester
2019
Deep learning
time varying channel
channel estimation
sliding structure
Neural Network
2019-09-27 09:42:16
Journal contribution
https://figshare.le.ac.uk/articles/journal_contribution/Deep_Learning_based_Channel_Estimation_Algorithm_over_Time_Selective_Fading_Channels/10217828
The research about deep learning application for physical layer has been received much attention in recent years. In this paper, we propose a Deep Learning (DL) based channel estimator under time varying Rayleigh fading channel. We build up, train and test the channel estimator using Neural Network (NN). The proposed DL-based estimator can dynamically track the channel status without any prior knowledge about the channel model and statistic characteristics. The simulation results show the proposed NN estimator has better Mean Square Error (MSE) performance compared with the traditional algorithms and some other DL-based architectures. Furthermore, the proposed DL-based estimator also shows its robustness with the different pilot densities.