电视跟踪系统脱靶量动态滞后误差的修正  

Correction for dynamic lag errors of miss distance in TV tracking systems

作　　者：赵金宇[1] 李文军[1] 连远锋[2] 王建立[1] 

机构地区：[1]中国科学院长春光学精密机械与物理研究所,吉林长春130022 [2]石油大学计算机系,北京102249

出　　处：《电光与控制》2004年第3期20-22,共3页Electronics Optics & Control

摘　　要：　解决了电视跟踪系统脱靶量动态滞后误差修正中传统方法精度低、无法有效抑制随机误差的问题。分析指出目标在摄像机靶面上的成像点运动为机动,且认为机动加速度服从修正瑞利分布,采用了基于机动目标当前统计模型的自适应卡尔曼滤波算法进行误差修正。仿真结果表明,该算法较传统方法不但补偿精度高且极大抑制了随机误差。Traditional methods for correcting dynamic lagging errors of miss distance in TV tracking systems have some disadvantages, because they are not so precise and can not restrain random errors effectively. In this paper, it is indicated that the movement of imaging points of the target on camera screen is dynamic, and the maneuvering acceleration is subject to corrected Relly distribution. Adaptive Kalman filter algorithm based on maneuvering target current statistical model is adopted for error correction. The simulation results showed that compared with the traditional methods, this method has not only high precision, but also can restrain the random errors effectively.

关 键 词：脱靶量 机动目标 自适应卡尔曼滤波 瑞利分布 蒙特卡洛仿真 

分 类 号：TN949.6[电子电信—信号与信息处理]