GPS Precise Point Positioning Using Kalman Filter Method

This paper describes a GPS precise point positioning program based on the Kalman filter method. The program incorporates multiple correction models to enhance positioning accuracy. The implementation includes satellite orbit corrections to reduce positioning errors caused by orbital inaccuracies, achieved through precise ephemeris data processing and orbital parameter estimation algorithms. Simultaneously, corrections for signal propagation effects are implemented using tropospheric and ionospheric delay models, further improving positioning precision. The program also accounts for atmospheric layer delays and clock errors through sophisticated filtering techniques and parameter estimation routines. The Kalman filter implementation utilizes state vectors containing position, velocity, and error parameters, with measurement updates incorporating pseudo-range and carrier-phase observations. These comprehensive corrections enable the acquisition of more accurate GPS positioning results through iterative prediction and correction cycles inherent to the Kalman filtering approach.