Soldier Threat Assessment Method Based on Bayesian Network
Qin Zhang, Jiabin Chen, Jiaxing Sun, Junyu Liang · 2021 China Automation Congress (CAC) · 2021
Since it is very important for soldiers to obtain threat information in battlefield environment, this paper determines the threat elements of soldiers in battlefield environment based on METT-TC elements proposed by the US Army Laboratory for battlefield needs and combined with domestic literature. In this paper, a threat assessment method of soldiers based on Bayesian network is proposed. Aiming at the problem that Bayesian network cannot deal with dynamic threats, this paper proposes a threat assessment method of soldiers based on dynamic Bayesian network. The threat assessment of soldiers is compared and verified by simulation examples. The results show that the dynamic Bayesian network model has good accuracy and real-time performance, which proves the superiority of the dynamic Bayesian network model. The simulation results are consistent with the expert experience evaluation, and this method has good practicability.