Automatic Identification Technology of Rotor UAVs Based on 5G Network Architecture

UAVs (Unmanned Aerial Vehicles), also called drones, have drawn the attention of researchers owing to its flexibility, threatening and enormous application value. The construction of 5G network brings a new direction of detecting, identifying, and managing UAVs based on the native cloud architecture. In 5G end-to-end network slices, rotor UAVs are detected and identified by deploying 5G millimeter waves and using a joint algorithm, the improved short-time Fourier transform (STFT) and based on Bessel function base. For one-rotor UAV, the use of STFT following conjugation of sinusoidal frequency modulation (SFM) radar echo data based on millimeter wave doubles the recognition effect compared with the unconjugated processing. For multi-rotors UAV, the number of rotors and the length and rotational speed of each rotor are effectively identified through projection on the SFM data and the introduction of k order Bessel function. According to the results of automatic identification of UAVs by 5G native cloud architecture, the high bandwidth and low delay of 5G network provide a reliable basis for the resolution. Because of good robustness of the Bessel function, it provides an effective solution for the detection, identification and management of UAVs by 5G millimeter wave radar.