Research on UUVs Swarm Threat Assessment and Strategy Selection

Abstract

In the context of modern underwater operations, Unmanned Underwater Vehicle (UUV) has become one of the most important tools to assist in completing high-risk underwater tasks. The key to UUV's intelligent operation is to perform a reasonable threat assessment based on the information uploaded by its own sensors, and take corresponding decisions based on the threat assessment. With the increasing complexity of underwater operations, UUVs swarm operation has become a major trend. Ensuring the safe completion of UUVs swarm operation depends on the UUVs swarm threat assessment and decision making system. The construction of this system is a problem that needs to be solved urgently. This paper will use Bayesian network method to solve the above problem. First, the UUVs swarm threat assessment is based on UUV threat assessment. Then, the UUV threat assessment is subdivided into two aspects: UUV safety assessment and UUV confrontation intent assessment. Bayesian networks are established to obtain those two assessment results. And then, decision making system using an exact matching method based on the results of UUVs swarm threat assessment. Finally, through simulation, the feasibility of the UUVs swarm threat assessment and decision making system is verified.