Target threat assessment based on PSO-BP algorithm
基于PSO-BP算法的目标威胁评估*

This paper established a target thread model based on the factors of space situation and air combat capacity of targets, such as altitude, distance, speed and angle, and proposed a target threat level assessment method based on PSO (particle swarm optimization) and BP(back-propagation) algorithm to estimate the threat level of aerial targets. Through predicting threat level of 8 aerial targets, the result shows that this method is effective to solve the problem of air threat assessment target, greatly improving the objectivity of decision-making.