主被动雷达导引头数据融合目标跟踪算法  

Study on Target Tracking Algorithm in Active and Passive Radar Seeker Data Fusion

作　　者：张兴[1] 李刚[1] 冯丹[1] 王耀[1] 温先福 

机构地区：[1]空军工程大学防空反导学院,西安710051

出　　处：《弹箭与制导学报》2015年第3期5-8,共4页Journal of Projectiles,Rockets,Missiles and Guidance

摘　　要：在主被动雷达导引头目标跟踪过程中,为了有效融合主被动雷达导引头探测的信息进行精确跟踪,文中提出了用BP神经网络将主被动雷达导引头探测的信息进行分类,并通过模糊系统根据目标的机动大小调节神经网络的学习速率以及根据目标距离的远近调节融合中心的权值。通过仿真试验表明,与传统的目标跟踪方法相比较,具有更好的跟踪效果,证明了该方法是可行的。During active and passive radar seeker tracking target, in order to effectively fuse information detected by two seekers for precise tracking, in this paper, BP neural network was used to classify the information into two different kinds, then fuzzy system was applied to adjust BP neural network＇ learning speed based on target＇ s maneuver extent, at the same time, adjust the fusion center＇ s parameter based on target＇ s distance. Computer simulation shows that compared with traditional method, this method can conduct target tracking perfectly, it is proved to be ascendant.

关 键 词：主被动雷达导引头 目标跟踪 神经网络 模糊系统 

分 类 号：TN959.21[电子电信—信号与信息处理]