摘要
目标跟踪是机载光电侦察瞄准系统的一个重要工作模式,其性能的优劣直接决定着载机系统完成任务使命的效能。针对机载光电侦察瞄准系统目标跟踪应用中存在的主要问题和技术难点,本文基于系统多源传感器构型及应用特点,综合组合惯导、运动测量、伺服控制、地理坐标及图像信息等多维度参数,提出了一种基于惯性测量与视频图像信息综合的智能目标跟踪策略,通过仿真分析与飞行测试表明,该策略有效提高了目标跟踪抗遮挡性能,实现了全动态复杂场景下稳健持久跟踪,提升了载机系统侦察监视、目标定位、瞄准引导的作战能力。
Target tracking is a core working mode of airborne photoelectric reconnaissance and aiming system,and its performance directly determines the mission efficiency of the airborne system.Aiming at the outstanding problems and technical difficulties in the application of target tracking,according to the multi-sensor configuration and application characteristics of the system,an intelligent target tracking strategy based on inertial measurement and video image information fusion is proposed,which integrates multi-dimensional information such as inertial navigation,motion mea-surement,servo control,geography and image coordinates.Simulation analysis and flight test show that the strategy can effectively improve the anti-jamming performance of target tracking,realize the robust and persistent target tracking in full dynamic complex scenes,and improve the combat ability of reconnaissance and surveillance,target positioning,weapon guidance of the airborne system.
作者
吉书鹏
刘志广
渠继峰
许建铮
李同海
Ji Shupeng;Liu Zhiguang;Qu Jifeng;Xu Jianzheng;Li Tonghai(China Airborne Missile Academy,Luoyang 471009,China;CAMA(Luoyang)Measurements&Controls Co.Ltd,Luoyang 471009,China)
出处
《航空兵器》
CSCD
北大核心
2023年第4期1-9,共9页
Aero Weaponry
关键词
光电侦察瞄准
信息融合
惯性测量
视频图像
深度学习
目标跟踪
抗遮挡
智能化
photoelectric reconnaissance and aiming system
information fusion
inertial measurement
video image
deep learning
target tracking
anti-occlusion
intelligent