Identification of pursued vehicles based on the guidance law recognition and line-of-sight analysis

In a scenario where a formation of flight vehicles tries to avoid the interception of a pursuer vehicle, it is very important for the formation to identify which member is being pursued by the pursuer. This paper proposes an identification model, which incorporates guidance parameter confidence measures and line-of-sight correlations to determine the possibility of each member being pursued. With observation data between each member and the pursuer, the equivalent navigation ratio of the guidance law of the pursuer is estimated online. Then, the confidence measure of the navigation ratio estimated by each member is translated into the possibility of each member being pursued. Furthermore, coupling the estimation results of navigation ratio with the line-of-sight information between each member and the pursuer, the pursued vehicle can be identified from the members in the formation. Simulation results prove that under different conditions, the proposed method can accomplish the identification with acceptable accuracy.