Abstract:This paper proposes an improved correlation weighted stacking filtering method. The method takes into account the overall noise level of the GPS station position residual series, which helps to suppress the adverse effects of the site’s own noise and residual gross error on the CME calculation, and uses the correlation coefficient as the weighting factor to generate a good spatial response. Furthermore, the feasibility of the method is analyzed using the GPS time series data of 8 CMONOC stations. The analysis results show that the RMS improvement rate of the method is about 20% relative to correlation weighted stacking filtering, has better performance, and can extract CME more accurately.