一种高超声速飞行器攻击意图预测方法

针对高超声速飞行器具有高机动性难以对其飞行轨迹进行预测的问题,提出一种基于高超声速目标运动特性的攻击意图预测方法。首先分析了高超声速飞行器的3种运动特性:飞行器运动状态的马尔可夫过程模型、航迹偏航角和可达区域; 然后采用动态贝叶斯网络的推理方法对高超声速飞行器与攻击目标之间的攻击关系进行推理,以实现攻击意图预测; 最后进行了仿真实验。实验结果表明, 基于运动特性的动态贝叶斯网络能够对攻击意图进行预测,提出的意图预测方法具有良好的实时性和有效性。

Method for predicting the attack intention of hypersonic vehicles

ing at the problem that it is difficult to predict the flight trajectory of hypersonic vehicles with high maneuverability, this paper proposes an attack intention prediction method based on hypersonic target motion characteristics. First, the three motion characteristics of hypersonic vehicles are analyzed: the Markov processes model of the motion state, the yaw angle and the reachable area. In order to predict the attack intention, a dynamic Bayesian network is established to reason out the attack relationship between hypersonic vehicles and attack targets. Finally, the simulation experiment is made. Experimental results show that the dynamic Bayesian networks based on motion characteristics can predict the attack intention and that the prediction method has good real-timeliness and effectiveness.