Filtering method and system for Beidou high-frequency deformation monitoring data

Abstract

The invention discloses a filtering method and system for Beidou high-frequency deformation monitoring data, comprising the steps of: S100 using sample data to initialize the state equation and measurement equation of the amplified Kalman filtering method; S200 using double gross error discriminant statistics to treat filtering The gross error type is judged for the observed value, and the gross error is corrected according to the gross error type; S300 performs noise filtering on the gross error corrected observation value to be filtered to obtain the two-dimensional state vector filter value; S400 calculates the observation value based on the two-dimensional state vector filter value Feedback the filtered value of the observed value to S200 as the filtered value of the observed value of the previous epoch; S500 repeats S200-S400 until the filtered observed values ​​of all epochs are completed. The present invention uses double gross error discriminant statistics to realize effective identification of gross errors, performs personalized correction according to gross error types, and greatly retains effective information in monitoring data, thus ensuring the reliability of filtering results.

Description

technical field [0001] The invention belongs to the technical field of geodesy, in particular to a method and system for filtering Beidou high-frequency deformation monitoring data. Background technique [0002] GNSS (Global Navigation Satellite System) has the characteristics of fast speed, all-weather, and high degree of automation. It has been widely used in deformation monitoring of various projects, such as dam deformation monitoring, bridge deformation monitoring, landslide deformation monitoring and mining area deformation monitoring. Wait. As an important part of the global positioning system, the Beidou positioning system independently developed by my country is gradually realizing global navigation and positioning at a rapid rate of development. competition. However, as a new type of satellite navigation and positioning system, its error characteristics and filtering methods for high-frequency deformation monitoring data are still blank. The accuracy of the monit...

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Problems solved by technology

[0004] According to the analysis of the current research status of filtering methods for Beidou high-frequency deformation monitoring data, it can be found that although many scholars at home and abroad have proposed many filtering methods for the noise and gross errors in Beidou high-frequency deformation monitoring data, they have not considered at the same time Due to the dual effects of noise and gross errors in the Beidou satellite high-frequency deformation monitoring data, the accuracy of the filtering results obtained by these filtering algorithms is limited

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