导弹预警卫星目标识别算法研究

Research on a new algorithm of missile target recognition of missile early warning satellite system

针对导弹预警与攻防对抗中的导弹目标识别问题,提出了一种导弹预警卫星地面应用系统中对导弹目标进行识别的新算法。该算法提出用导弹发射点位置、导弹尾焰红外特征和导弹关机点特征量作为导弹目标识别的特征量,用模糊隶属度加权求和方式进行信息融合,根据融合和最大融合量的阈值判决确定导弹的类型、国别。仿真实验证明了该算法的有效性。

A new algorithm of missile target recognition for missile early warning satellite system＇s ground segment is established. By use of some eigenvalues such as missile launch location, infrared radiation of boosting missiles plumes and missile engine off-time eigenvalue, data fusion based on weight sum of membership degree is applied to deduce the type and launching country of the missile. The simulation results show that this target recognition algorithm is trusty and practical.