LSS Targets Threat Assessment Method Based on Bayesian Network

For the low slow small (LSS) targets, a method of threat evaluation is proposed. First, influence factors of threat assessment for LSS targets are analyzed and studied, which are divided into quantitative factors and qualitative factors; second, for the quantitative factors, threat values are calculated by the membership function with the weight of each quantitative factor determined by the AHP method. For the qualitative factors, a dynamic Bayesian network topology is constructed, and Bayesian theory is used to infer the threat value. Finally, the comprehensive threat value combined the threat value of quantitative factors and qualitative factors is calculated. The results of experiment verify the effectiveness of the proposed method.