A High-resolution Radar Automatic Target Recognition Method for Small UAVs Based on Multi-feature Fusion

The recognition of small unmanned aerial vehicle (UAV) has important application value. The very challenging problems in small UAV recognition are recognition accuracy of traditional methods and interpretability of deep learning-based methods. High-resolution radar sensors provide an attractive choice for this issue. In this paper, we propose a multi-feature fusion method for small UAV recognition based on high-resolution radar sensor, which can combine the structure features and micro-Doppler features of small UAV. A dataset contains two different type of small UAV targets, namely four-rotor UAV and two-rotor helicopter, is constructed for training and testing. The recognition accuracy of these two small UAVs based on the measured high-resolution radar data reached 98.5%. The experimental results demonstrate that the proposed multi-feature fusion method is effective for small UAV recognition.