RF Signal-Based UAV Detection and Mode Classification: A Joint Feature Engineering Generator and Multi-Channel Deep Neural Network Approach

With the proliferation of Unmanned Aerial Vehicles (UAVs) to provide diverse critical services, the accurate detection of these small devices and the efficient classification of their flight modes are of paramount importance. In this paper, we propose a joint Feature Engineering Generator (FEG) and Multi-Channel Deep Neural Network (MC-DNN) approach.