Deep Learning-Based Channel Estimation for Doubly Selective Fading Channels
In this paper, online deep learning (DL)-based channel estimation algorithm Hops for doubly selective fading channels is proposed by employing the deep neural network (DNN).With properly selected inputs, the DNN can not only exploit the features of channel variation from previous channel estimates but also extract additional features from pilots an