High-precision positioning algorithm based on GPS

Because of the environment and the nature of the signal itself, GPS or wireless mobile positioning technology always has any unavoidable defect. But higher coverage percentage, reliability or precision than single positioning can be gained if integrating at least two positioning technologies´ advantages and avoiding their deficiencies. So the developmental trend of mobile positioning technology is hybrid positioning and lots of research has been made. Data fusion is one of the main methods in hybrid positioning field. This paper gives an effective high-precision hybrid positioning model with GPS and wireless mobile positioning based on least squares method and Kalman filtering. Single GPS positioning based on carrier phase is also one of the highest precision methods, but current difficulty is the fast integer ambiguity resolution. This paper gives an algorithm based Z transformation to speed up the ambiguity resolution. By test and verification, this algorithm has a higher positioning accuracy than commonly pseudo-range differential positioning.