空情处理系统中二维卡尔曼滤波算法及实现

Realization of kalman filtering algorithm of two dimensions in aerial information processing system

空情处理系统中,要对雷达所跟踪的目标用计算机进行实时模拟再现。为了提高模拟再现的精度,系统需要使用卡尔曼滤波算法去除目标测量数据中的噪声数据。参考已有的卡尔曼滤波算法描述,给出了一组详细的方程组来描述空情处理系统中的平面直角坐标系下卡尔曼滤波算法模型,并且基于C++实现了此算法。

In aerial information processing system, it is necessar to simulate and reproduce real-timely the goal with computer that radars follow. For improving precision of simulation and reproduction, the system uses kalman filtering algorithm to whiten the noise data in measurement. Kalman filtering algorithm model is described under planimetric rectangular coordinates in aerial information processing system, which includes one group detailed equation groups and consults the description of existing kalman filtering algorithm, and the algorithm is realized based on C++.