电视跟踪系统脱靶量动态滞后误差的修正

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。

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

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.