反潜目标态势评估是反潜指挥决策的重要依据, 针对反潜作战中目标信息不充分、不确定程度高的问题, 通过对直升机编队反潜的敌我对抗过程进行分析, 提出基于贝叶斯网络的态势评估算法。算法通过构建敌我对抗过程的敌我关联网络、建立因果概率表、基于贝叶斯网络进行推理, 实现目标类型和目标意图的识别。实验结果表明了网络推理的有效性。算法可以有效利用侦察到的目标信息, 结合经验模型进行推理和识别, 对指挥员的作战决策具有很好的参考价值。

Situation assessment of the target is the basis for making military decision in anti-submarine warfare. Through analyzing the antagonistic process between the helicopter formation and the target, and considering the insufficiency and uncertainty of target information in the anti-submarine warfare, we proposed a kind of situation assessment algorithm based on Bayesian network. By establishing an association network between the two sides and the relevant causality and probability tables, we used Bayesian network for ratiocination, and thus to identify the target and its intention. The experiment results showed the validity of the algorithm, which can provide a good reference for military decision-making in anti-submarine warfare by using the target information effectively together with the empirical model for ratiocination and identification.