基于卡尔曼滤波器的雷达跟踪

Kalman Filter Design for radar traching

卡尔曼滤波是一种统计估算方法,通过处理一系列带有误差的实际测量数据而得到所需要的物理参数的最佳估算值.对于每一个估计量,就使贝叶斯MSE最小而言,卡尔曼滤波器是最佳的。本文介绍了卡尔曼滤波器在雷达跟踪问题上的应用,说明卡尔曼滤波器在建模和计算机仿真上有着重要的现实意义。

Kalman filtering is a method of statistic and estimate. It disposes a series of metrical data with errors to gain the optimal estimated numerical value of requisite physical parameters. To each estimated numerical value, Kalman Filter is the best way to make Bayesian MSE least. This paper introduced the application of Kalman Filter in radar traching, shows that Kalman Filter has important and practical meanings by establishing model and simulating with computer.