Research of an adapted filtering algorithm using Doppler shift

In GPS navigation and location system, aiming at the effect of the dynamic model of receiver on GPS position accuracy, a GPS adapted filtering algorithm based on Doppler shift observation is proposed. An adaptive filter algorithm use GPS pseudo-range measurement and pseudo-range ratio measurement which signal carrier wave Doppler Shift received for filtering high dynamic GPS, pseudo-range and pseudo-range rate will also be observed in dynamic filtering process of this algorithm. By means of the filter equations built by kinetic vector model of mobile object and GPS location error model, Kalman filtering process using this model is primarily discussed „. Simulation experiments show that compared with the traditional compared minimum-variance adaptive model, this model can improve location accuracy and ameliorate dynamic performance of the receiver.