Automatic Radar Antenna Scan Type Recognition Based on the Residual Network

In the radar electronic reconnaissance field, radar antenna scanning type recognition helps infer the function, working mode, and scanning pattern of the emitters, which is important for radar radiation source identification and threat level assessment. The recognition rate of the traditional machine learning and radial basis function based methods decreases in complex electromagnetic environments. In order to improve the recognition accuracy and reduce manual intervention, this paper proposes a radar antenna scanning recognition method based on the Residual Network, which enhances the recognition accuracy and efficiency. The simulated results of 7 different scanning modes show that the recognition accuracy can reach about 98.7%.