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 pseudorange 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.
GPS Doppler Shift Kalman flittering Location accuracy
Guangwen Xi Yu Liu
Network Center Chongqing Three Gorges University Wanzhou Chongqing, China College of Electronic and information Engineering Chongqing Three Gorges University Wanzhou Chongqin
国际会议
重庆
英文
385-387
2011-08-20（万方平台首次上网日期，不代表论文的发表时间）