Convolutional DPA Refinement for Real-Time Channel Estimation in High-Mobility Vehicular Networks
Channel estimation in IEEE 802.11p vehicular networks must maintain reliable accuracy under severe Doppler conditions while meeting the receiver processing-time requirements of continuous frame reception. Although recurrent neural network (RNN)-based estimators can achieve competitive accuracy, their sequential hidden-...