GPS coordinate time sequence discontinuity complementing method based on common-mode error

Abstract

The invention discloses a GPS coordinate time sequence discontinuity complementing method based on a common-mode error, and the method comprises the steps: S1, selecting a medium- and small-scale GPS network, and selecting a plurality of continuity measurement stations from the continuity measurement stations in the medium- and small-scale GPS network; S2, obtaining the residual error coordinate time sequence of the continuity measurement stations according to the coordinate time sequence observation data of the continuity measurement stations; S3, selecting any one measurement station from the plurality of selected continuity measurement stations as a reference base station, and determining the common epoch of the reference station and the common continuity measurement stations in the medium- and small-scale GPS network; S4, obtaining the common-mode error that all common continuity measurement stations in the medium- and small-scale GPS network jointly act on the reference station; S5, complementing the GPS coordinate time sequence of a discontinuity measurement station in the medium- and small-scale GPS network through the common-mode error. According to the invention, the method achieves the complementing of the discontinuous data through employing the similarity of the continuous data residual error time sequence of the spatial distribution in the medium- and small-scale range, and improves the derivative quality based on the GPS coordinate time sequence.

Description

technical field [0001] The invention belongs to the technical field of precise processing of GPS data, and relates to a method for complementing discontinuity of GPS coordinate time series based on a common mode error. Background technique [0002] In recent years, various GPS / GNSS monitoring networks at home and abroad have been established, such as China's crustal movement observation network and mainland China's tectonic environment monitoring network, the PBO network in the United States, and the EPN in Europe. The operation of these GPS / GNSS monitoring networks has produced a large amount of continuous and campaign observation data. The observation data accumulated over many years constitute the GPS coordinate time series. [0003] Due to the influence of non-tectonic factors such as hydrology and human activities, the GPS coordinate time series has position discontinuity in the GPS coordinate time series; and structural factors such as seismic activity, slow slip even...

AI Technical Summary

Problems solved by technology

The location discontinuity caused by the above factors can easily lead to large deviations in parameter estimation based on the GPS coordinate time series, thereby affecting the quality of its derivatives and further affecting its application effect

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