红外多站被动联合跟踪信息融合方法  

Information Fusion Method of Infrared Multi-station Passive Joint Tracking

作　　者：杨凯[1] 边月奎[1] 杨宁国[2] 张丽华[1] 刘鹏辉[1] YANG Kai;BIAN Yuekui;YANG Ningguo;ZHANG Lihua;LIU Penghui(Northwest Institute of Mechanical&Electrical Engineering,Xianyang 712099,Shaanxi,China;Unit 63850 of PLA,Baicheng 137319,Jilin,China)

机构地区：[1]西北机电工程研究所,陕西咸阳712099 [2]中国人民解放军63850部队,吉林白城137319

出　　处：《火炮发射与控制学报》2020年第3期49-52,57,共5页Journal of Gun Launch & Control

摘　　要：单独应用红外传感器进行跟踪时不能获取关于目标的距离信息,在实际应用中常需结合激光测距完成火控信息的获取,然而在一些特殊情况下,如在激光对抗或激光故障条件下,如何获取完整的目标跟踪信息就显得尤为重要。为提升系统的隐蔽性,并且实现全要素跟踪信息的获取,充分利用多平台进行联合跟踪,采用红外多站联合对目标进行检测,同时应用无迹卡尔曼滤波(UKF)进行跟踪融合。通过对空中目标的联合跟踪算例,进行了方法验证。仿真结果表明,所提出的联合跟踪方法能够有效进行空中目标的连续跟踪。It is impossible to obtain distance information of the target when the infrared sensor is used for tracking alone. In practical application, it is often necessary to acquire fire control information in combination with laser ranging. In order to improve the concealment of the system and achieve the acquisition of all-factor tracking information, infrared multi-station was used to detect the target jointly and unscented Kalman filter(UKF) was used to track and fuse the target. An example of joint trac-king algorithm of aerial targets was given to verify the validity of the proposed method. The simulation results show that the proposed joint tracking method can effectively track air targets continuously.

关 键 词：联合跟踪 被动跟踪 无源定位 卡尔曼滤波 

分 类 号：TN953[电子电信—信号与信息处理]