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《Science of Surveying and Mapping》 2009-01
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Research on an adapted filtering algorithm based on Doppler shift

LIU Yu①,TIAN Shi-jun②(① Chongqing Three Gorges University,School of Electronic Engineering,Chongqing 404000,China;② University of Electronic Science and Technology of China,School of Electronic Engineering,Chengdu 610054,China)  
Aiming at the effect of the dynamic model of receiver on GPS positioning accuracy,a GPS adapted filtering algorithm based on Doppler shift observation is proposed.With measurement acquired by GPS pseudo-distance and Doppler shift of signal carrier wave surveying,both pseudo-distance and pseudo-distance rate are observed in the course of GPS dynamic filtering.By means of kinetic vector model of mobile object and GPS location error model,the filtering equation are presented.Kalman filtering process using this model is primarily discussed.The simulation results indicate that location accuracy improves 26% and velocity accuracy improves 36.8% by using this model.Compared with the adapted filtering algorithm based on variance,this filtering algorithm can improve positioning accuracy and the dynamic capability of receiver,and extend application yield of high accuracy and kinematic navigation.
【CateGory Index】: P228.4
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