摘要
传统以坦克炮塔坐标系为基准的火控系统很难完成高速动对动状态下的精准射击,针对此问题,通过基于大地坐标系的坐标变换,建立了一种车载火控系统高速动对动状态下,进行自动跟踪时敌我两车瞬时运动关系的运动学模型。利用车载激光测距仪和车载传感器的实时量测数据,使用卡尔曼滤波算法对目标的运动轨迹进行预测,从而实现车载火控系统的自动跟踪,射击准备时间由过去的10 s左右缩短到了4 s以内,理论上使得坦克首发命中率由过去的50%～70%提高到了90%以上。通过仿真验证了预测结果较为精确和理想,为提高车载火控系统的性能、发展全数字火控系统作了有益的尝试。
For the problem that the conventional fire control system based on the coordinates of tank turret can not shoot preciously in high-speed action,a kinetic model was constructed for instantaneous motion between two tanks by using the ground-based coordinate transform to realize the automatic track in high-speed action on the dynamic state of the vehicular fire control system.With the real time data provided by vehicular laser rangefinders and sensors,Kalman filter algorithm was used to predict the trace of moving targets and realize automatic track of the vehicular fire control system.As a result,preparation time of shoot was shorten from 10 s to less than 4 s,and the first hit rate of tank increases from 50%-70% to more than 90% theoretically.The simulation results verify accuracy and satisfactory of the model,and the attempt was performed to improve the properties of fire control system.
出处
《红外与激光工程》
EI
CSCD
北大核心
2010年第2期346-351,共6页
Infrared and Laser Engineering
基金
国家自然科学基金资助项目(60474055)
关键词
自动跟踪
车载火控系统
卡尔曼滤波
运动学模型
坐标变换
仿真
Automatic tracking
Vehicular fire control system
Kalman filter
Kinetic model
Coordinate transform
Simulation
