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Kalman filter algorithm in GPS un-differenced phase precise point positioning

FU Xin-xin;GAO Jun-qiang;SHI Yan;College of Geomatics Engineering,Nanjing University of Technology;  
It presents the mathematical model of the precise point positioning,introducing the Kalman filter algorithm on the basis of the least squares estimation and using the extended recursive Kalman filter in the GPS data real-time processing.Not only can it well reduce errors resulting from linearization of nonlinear equations,but accurately calculate the three-dimensional position of the user's.
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