Method and device for eliminating abnormal value in VTEC, equipment and medium

By generating a global ionosphere grid model and processing the statistical values ​​of abnormal grid points based on peripheral data, the spherical harmonic coefficient is solved by iterating the problem of outliers in the global ionosphere model, and efficient outlier processing without external measured data and empirical models is achieved.

CN119881958APending Publication Date: 2025-04-25CHINA MOBILE SHANGHAI ICT CO LTD +2
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Patent Information

Application Number
CN202311396977.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2023-10-25
Publication Date
2025-04-25

AI Technical Summary

Technical Problem

When the existing technology uses spherical harmonic functions to establish a global ionosphere model, there is a problem that some grid points are outliers, especially in areas where observation stations are lacking. Traditional technology needs to rely on a large amount of measured data and selecting empirical models with appropriate weights, resulting in the compensation effect depends on the accumulated amount of measured data and the weight accuracy of empirical model.

Method used

By generating a global ionosphere grid model based on the global ionosphere VTEC model, the abnormal grid points are determined, and statistical values ​​are generated based on the peripheral data of the abnormal grid points, and the spherical harmonic coefficient of the VTEC model is solved iteratively until there is no outlier value for VTEC at all grid points.

Benefits of technology

There is no need to introduce a large amount of external measured data and select empirical models, and rely solely on the original data and parameter estimation methods to simplify data processing and solve the problem that the effect of outlier compensation depends on measured data and empirical model accuracy.

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Abstract

The invention discloses a method, device, equipment and medium for eliminating abnormal values in VTEC, and the method comprises the steps: generating a global ionosphere grid model based on a global ionosphere VTEC model which is established based on ionosphere observation information; determining abnormal grid points in the global ionospheric grid model; generating a statistical value of the abnormal grid point based on the peripheral data of the abnormal grid point; and eliminating the abnormal grid points in the global ionospheric grid model based on the statistical values of the abnormal grid points. By adopting the technical scheme of the invention, the problem that the compensation effect depends on the size of the accumulated quantity of the introduced measured data and whether the weight precision of the selected empirical model is appropriate or not when the ionized layer VTEC is an abnormal value in the traditional technology is solved.
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