Method for constructing nonlinear motion model of CGCS2000 frame sites

Abstract

The invention provides a method for constructing nonlinear motion model of CGCS2000 frame sites. The method comprises the steps of adopting the time series gross error detection and time series missing value interpolation methods based on singular spectrum analysis to preprocess day analysis time series to obtain the clean and complete time series, conducting singular spectrum decomposition on the preprocessed time series after, obtaining the principal component weight of the time series of the sites, combining the maximum entropy method and the nonparametric test and oscillation pair identifying method to separate signals and noise of the time series, extracting the useful signals, conducting dynamic feature analysis on the sites, adopting the time series prediction method based on the singular spectrum analysis method, conducting site position predication on the extracted useful signals, carrying out modeling based on the predication result, and obtaining the nonlinear motion model of the sites. According to the method, the precision of the constructed nonlinear motion model is obtained from multiple aspects, and the high-precision maintenance and updating can be dynamically carried out on the CGCS2000 frame for a long time.

Description

technical field [0001] The invention belongs to the technical field of national high-precision geocentric coordinate frame and geodetic datum maintenance, and specifically relates to a method for constructing a nonlinear motion model of a CGCS2000 frame site. Background technique [0002] my country launched the China Geocentric Coordinate System CGCS2000 and the corresponding coordinate reference frame on July 1, 2008. Establishing an accurate CGCS2000 frame site motion model is an important basis for maintaining the accuracy and stability of the CGCS2000 frame. [0003] At present, in the process of establishing the CGCS2000 framework station movement model, there are mainly the following deficiencies: (1) When imputing missing values ​​for the daily solution time series, it is often impossible to reliably interpolate the time period with a long missing time; (2 ) when performing signal-to-noise separation, it is necessary to make certain prior assumptions about the motion...

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Problems solved by technology

[0003] At present, in the process of establishing the CGCS2000 framework station movement model, there are mainly the following deficiencies: (1) When imputing missing values ​​for the daily solution time series, it is often impossible to reliably interpolate the time period with a long missing time; (2 ) When performing signal-to-noise separation, it is necessary to make certain prior assumptions about the motion characteristics and noise characteristics of the site, and the resulting signal-to-noise separation results depend to a certain extent on the accuracy of the prior assumptions

The above three deficiencies reduce the accuracy of the constructed CGCS2000 frame station motion model as a whole, and it is difficult to meet the needs of many scientific research and engineering monitoring projects with high precision and real-time requirements, and it is also not suitable for today's precise positioning and navigation. need

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