摘要
卡尔曼滤波算法广泛应用于现代控制科学和随机过程的数据处理中.介绍了卡尔曼滤波算法的一般原理,给出了一套递推计算公式,然后将此算法应用于目标跟踪系统中,对被跟踪目标的运动状态进行预测估计;对实际应用中存在的不足,提出了相应的改进方法,取得了比较精确的跟踪结果.
Kalman filter arithmetic is widely applied to modern control science and random data processing. The common principle of the Kalman filter arithmetic is introduced, and a set of recursive calculation formula applied to target tracking system is given, and the moving state of the tracked target is predicted and estimated. According to the deficiency in the practical application, corresponding improving method is brought forward;and the relatively precise tracking result is obtained.
出处
《光电技术应用》
2006年第3期69-72,共4页
Electro-Optic Technology Application
关键词
卡尔曼滤波
随机过程
预测
估计
Kalman filter
random process
predict
estimate