Research on Threat Target Classification and Identification Method

Radar can realize the tracking and monitoring of the target, and can provide the motion information and RCS information of the target. In view of the classification and identification of threat targets, three types of threat targets are considered: bullets, rockets and missiles. Based on the target information in radar echo, this paper proposes a target classification and identification method based on the fusion of motion information and RCS information. Bayesian classification algorithm and D-S evidence theory are used for classification and fusion, which makes full use of the complementarity and redundancy of the two types of information, and the ability of radar to identify targets is also improved. The simulation results show that this method can classify the target correctly and effectively.