Noise Analysis of PANGA Coordinate Time Series

A 12-year coordinate sequence of 200 GPS reference stations in the PANGA observation network was selected. The AIC model used to estimate the noise characteristics of the criterion, and the effects of different data strategies on the establishment of the noise model are discussed. The results show that different data strategies have less influence on the establishment of noise model. The noise model of the base station coordinate sequence is mainly characterized by the PL+WN noise model. The influence of different stochastic models on the GPS station speed estimation is relatively small, but in U. The component influence is the most obvious; compared with the annual amplitude change under different strategies, the amplitude values in the E, N, and U directions are different, and the scale of the amplitude displacement is finally determined.