Error Analysis and States Estimation in GPS Positioning
Minhua Wu · Jisuanji gongcheng · 2008
By analyzing its statistical characteristic,GPS positioning error can be described approximately as two–order Markov process.With the extended Kalman filter introduced,the system status is estimated effectively on the basis of the Singer model of the vehicle.Simulation result shows that the precision of GPS positioning based on extended Kalman filtering is much higher than that based on standard Kalman filtering.So it can be used in eliminating correlative error in low dynamic condition.