卡尔曼滤波的一种改进算法在GPS中的应用

Application of a Modified Kalman Filtering Arithmetic in GPS

以VisualC+ + 和Matlab为工具 ,利用卡尔曼滤波的原理 ,针对全球定位系统(GPS ,GlobalPositonSystem)的特点进行算法改进 ,采取状态偏差作为系统状态变量 ,在不影响计算精度的情况下 ,消除了计算机字长以及舍入误差造成的影响。最后给出了滤波器的稳定值 ,以及卡尔曼滤波的结果。

Based on kalman filtering theory,a new kalman filtering arithmetic is designed for GPS with the help of VC 6.0 and Matlab programming language. The state error was taken as the system’s state when the error brought by the computer’s data length was eliminated and the accuracy of the filtering result was kept.At last,the steady result and the result of kalman filtering was given.