基于贝叶斯网络的空中目标威胁评估方法OA

According to the needs of air defense combat,in order to solve the problem of threat assessment of air targets in air defense combat,analyzing the current proposed multiple threat assessment methods,combining with the actual operational needs,taking into account that the attributes of air targets have lower accuracy and the possibility of missing,and being able to transparent-ly show the decision-making process of the threat assessment,a Bayesian-based air target threat assessment method is proposed.The method constructs an air target threat assessment model by analyzing the air target attributes,selecting the elements that can tar-get the threat,and building a Bayesian network based on the causal relationship and conditional probability of each element.The simulation results show that the model can accurately respond to the threat level of the target,and can provide effective support for air defense combat auxiliary decision-making.