Abstract:

In order to achieve the shorter convergence period and better positioning accuracy for precise point positioning (PPP), the combination of multiple navigation satellite, such as the Beidou navigation satellite system （BDS） and the global positioning system （GPS）, and the better positioning method are two ways to choose. However, since the traditional least square (LS) estimator ignores the temporal correlation of observations, and the extended Kalman filter (EKF) is limited by inaccurate prior information, a novel PPP method based on adaptive extended Kalman filter (AEKF) is used to adjust the process noise with the measurement consistency test. The experiment results show that, compared with traditional EKF solution, the convergence period of PPP based on AEKF can be shorten by 9 minutes, and the accuracy of positioning can be increased by 33.7%.