Applying Kalman optimal estimation theory to GPS navigation and positioning system,it has designed a positioning algorithm which bases on Kalman optimal estimation theory for high-dynamic users.The Kalman filtering technology studied here is mainly used in high-dynamic flight of aviation system.Finally,it has simulated the positioning system which adopts least squares algorithm and Kalman filtering algorithm individually,and has compared their positioning error and speeding error.The simulaition results show that dynamic Kalman filtering algorithm has a better filtering accuracy and their positioning accuracy has been markedly improved.