Method of Unknown Target Risk Analysis and Threat Assessment for UUVs

This paper mainly studies the threat factors that affect the red and the blue Unmanned Underwater Vehicles (UUVs) in the confrontation environment. Based on these threat factors, completing threat assessment(TA) of two side UUVs, we design Bayesian network (BN), obtain the posterior information through network reasoning, and get the threaten degree of the current against situation. And through the design of the network structure, this paper defines the blue UUV as a "brave" attacker. Aiming at the problem of target selection of the blue UUV, the threat level of incoming targets is sorted by analytic hierarchy process (AHP). The simulation results show that the threat level derived from Bayesian network reasoning and the target obtained from AHP are consistent with the actual analysis results, which proves the correctness and effectiveness of the two methods.