Comparative analysis of GPS baseline data using different stochastic modelling techniques

摘要

Double-differenced Global Positioning System (GPS) carrier-phase observations produce accurate GPS-precise point positioning results if processed with least squares algorithms, which need a functional and a stochastic model to be properly defined, thelatter being difficult to accomplish practically. The standard model, the MINQUE model and the simplified MINQUE model are widely used for estimating the variance-covariance components of GPS observations. In this communication, the outputs from these models are compared. It has been shown that both the MINQUE models are superior to the standard stochastic model and the simplified MINQUE model has the same accuracy as the MINQUE model, but with a drastically reduced computational time.