卡尔曼滤波算法在目标跟踪系统建模中的应用  

The Application of KALMAN Filter Algorithm to Target-tracking System Modeling

作　　者：陈大建[1] 李飞翔[1] 张紫浩[1] 付欣[1] 

机构地区：[1]东北电子技术研究所,辽宁锦州121000

出　　处：《光电技术应用》2006年第3期69-72,共4页Electro-Optic Technology Application

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.

关 键 词：卡尔曼滤波 随机过程 预测 估计 

分 类 号：TP274.2[自动化与计算机技术—检测技术与自动化装置]