UAV detection and identification in the Internet of Things

Unmanned Aerial Vehicles (UAVs) have been widely used in fifth-generation (5G) and the Internet of Things (IoT) because they can carry devices for communications and IoT and fly in a flexible and controllable manner. At present, in flight control, the UAV is mainly positioned by satellite. However, it may be interfered by the strong electromagnetic deception signal. A method for UAV assisted positioning is needed. In this work, we propose a new method of using radar to position the UAV. The range resolution capability of the wideband radar is used to acquire the target position in the detection area. The time-frequency analysis method is used to analyze the micro-Doppler effect generated by the rotation of the UAV rotor, and to identify whether the detected target is a UAV. The cepstrum method is used to estimate the feature data of the UAV such as the number of rotors and the speed, then the UAV is classified by the obtained feature data. The simulation results of the number of rotors, the rotation speed of each rotor and the position of the UAV is shown in the article.