Underwater Target Threat Assessment Method Based on Bayesian Network

Abstract

Underwater targets are used more and more frequently in modern ocean battlefield. It is important to assess the threat from an enemy target after it is detected immediately, in order to prepare quick counterattack and defense. This paper proposes a method for underwater target threat assessment based on Bayesian Network. The threat model uses a hierarchy view for threat factors. All factors are divided into three parts: environment, target space and target fire. Each part contains several detailed factors, which are arranged based on their causal relationships. These factors are applied into the Bayesian Network and the probability of threat is calculated through Bayesian inference. Finally, a simulation is conducted and the method can effectively assess the target threat. The model has a relatively good performance and can generate the assessment with low time cost.