Gps rapid static and kinematic positioning based on gps active network

This paper presents a data processing strategy for GPS kinematic positioning by using a GPS active network to model the GPS errors in double difference observable. Firstly, the double difference residuals are estimated between the reference stations in the active network. Then the errors at a user station are predicted as the network corrections to user measurements, based on the location of the user. Finally conventional kinematic positioning algorithms can be applied to determine the position of the user station. As an example, continuous 24-hour GPS data in March 2001 has been processed by this method. It clearly demonstrates that, after applying these corrections to a user within the network, both the success rate for ambiguity resolution and the positioning accuracy have been significantly improved.