Dynamic situation assessment method of aerial warfare based on improved evidence network

Aimed at the comprehensive consideration for the impact types and the need of reasoning ability with uncertainty that situation assessment of UAV aerial warfare requires, a model of dynamic situation assessment based on improved evidence network is established and the threat level evaluation reasoning method is designed. Firstly, considering the characteristics of short decision time, a grade reduction method for variable recognition frame is proposed to improve the network operation efficiency. Then according to the characteristics of large uncertainties of aerial warfare situation information, the adaptive combination arithmetic of conflicting data and the time series prediction for evidence are added to advance the rationality of evidence. Finally, the temporal-spatial fusion thought and the variable weight mechanism are also introduced to make the threat information of previous time an important standard for the threat assessment of the next time. Due to the threat recursion combination in the temporal direction, the threat information transmission is increased. It is verified that the problem of irrational assessment results caused by the distortion of information is improved and the proposed method is effectively validated by the simulation examples.