An cycle-slip correction method for real-time kinematic GPS data based on triple differences observation

In order to obtain consistent high-precision positioning results with GPS carrier-phase measurements, cycle-slips must be correctly detected and removed or handled at the data processing stage. This paper proposes a new cycle-slip correction method. The approach includes generating and filtering cycle-slip candidates. It can be derived directly from the observation triple-difference time series under simple assumption. Compared with conventional methods, this method needs not prediction values of the measurements. The method is suitable for continuously cycle-slip. Theory and test show the method can correct all cycle-slip.