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.