导弹动态可攻击区实时在线算法研究

Research on real-time online algorithm of missile dynamic attack zone

为满足对空导弹在真实空战环境中射后动态攻击区实时在线计算的需要,提出了一种基于改进BP神经网络算法的导弹射后动态可攻击区的实时在线高精度拟合方法。该神经网络可用于对空导弹各种飞行总体状态下的射后动态可攻击区实时在线高精度拟合。数值仿真结果表明,该方法所求得的拟合导弹射后动态可攻击区与实际计算结果误差很小,在实际的导弹攻防对抗、群体导弹拦截一体化等工程应用中,能够实时在线地计算导弹射后动态可攻击区,对现代国防技术有较大的推进作用。

The attack zone of antiaircraft missile after being launched is important information during antagonistic process of flight vehicles.To satisfy its real-time online calculation demand,this paper presents a real-time online high-precision fitting method based on improved BP neural network.The final obtained BP neural network can real-time online calculate attack areas of air-to-air missiles after being launched with high precision.Numerical simulations results indicate that the error between fitting results and simulation results of dynamic attack areas of air-to-air missiles being launched is very small.It is a major breakthrough in practical engineering application such as missile offensive and defensive confrontation,as well as integrated conduct operations of mass interception missiles.