摘要
为了解决电视跟踪系统中电视脱靶量的滞后以及跳变对控制系统的稳定性和跟踪精度的影响。根据跟踪系统实时性和精度要求,设计了卡尔曼滤波器,对跟踪目标运动参数(位置和速度)进行滤波预测,提出了极坐标下Kalman滤波算法。仿真结果表明,该滤波器能够根据传感器测量值对目标位置、速度进行估值,超调量减至18%,调整时间为0.6s。
In a TV tracking system ,the time delay and jump of TV miss distance will have a relative large influence on stability and tracking accuracy of control system .In order to solve the problem ,Kalman filter is designed for prediction target,s moving parameters (position and velocity) according to the realtime property and accuracy demands of the tracking and control system .The simulation shows Kalman filter can predict the position and velocity of target according to measured data.Overshoot is 18% ,transition time ts is 06 s.
出处
《吉林大学学报（信息科学版）》
CAS
2003年第3期247-250,共4页
Journal of Jilin University（Information Science Edition）
基金
总装备部预研基金资助项目(2000021-03)
关键词
卡尔曼滤波器
预测算法
目标跟踪
电视跟踪
Kalman filtering
Prediction algorithm
Target tracking
TV tracking
