一种雷达/红外双模制导信息融合滤波算法  

A Data Fusion Algorithm on the Information of Radar/IR Seeker

作　　者：何金刚[1] 马慧敏[1] 

机构地区：[1]中国空空导弹研究院,河南洛阳471009

出　　处：《弹箭与制导学报》2011年第5期13-15,22,共4页Journal of Projectiles,Rockets,Missiles and Guidance

基　　金："十一五"预研项目资助

摘　　要：现代战争战场环境恶化,单一制导模式容易受到天气和干扰等影响,导弹制导性能降低,适应性差。雷达/红外双模制导模式综合了各传感器的优点,使制导系统具有更强的抗干扰能力、更高的命中精度。文中以工程化应用为背景,首先对主动雷达导引头和红外成像导引头测量信息采用方差自适应算法进行数据融合,再应用自适应的扩展卡尔曼滤波估计目标运动状态。最后,通过全弹道仿真证明了该方法的有效性。In modern war,the environment of war field is worse than before,so single mode guidance is prone to be influenced by weather,jamming etc.These bring adverse effect on guidance performance and adaptability.The advantage of each sensor is used by radar/IR mode in guidance to improve the anti-jamming ability and tracking precision.Based on the project,at first the metrical information of radar seeker and IR seeker was fused through the method of adaptive variance.Then,EKF was used to estimate target motion.Finally,the ballistic simulations were presented to verify the validity of this method.

关 键 词：雷达/红外 数据融合 自适应 扩展卡尔曼滤波 

分 类 号：TJ765[兵器科学与技术—武器系统与运用工程]