Research into the Model of GNSS Leveling Polynomial Surface Fitting Based on MATLAB

Yu Sheng Gong; Qian Han; Li Ping Zhang

doi:10.4028/www.scientific.net/AMM.90-93.2907

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 90-93Research into the Model of GNSS Leveling...

Research into the Model of GNSS Leveling Polynomial Surface Fitting Based on MATLAB

Abstract:

To make full use of geodetic height results measured by GNSS and improve the accuracy that GNSS geodetic height convert to normal height, method of polynomial surface fitting has been selected in this article to research into fitting of the elevation. In the first place, for least squares estimation do not have the ability of resisting gross error, robust estimation is introduced to data preprocessing, which has solve the problem of distortion model effectively and then combines with specific engineering to make comparison and to analyze accuracy of polynomial surface fitting data of different orders. MATLAB has been used in programming design in the whole process, which has realized automatic processing of data.

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Periodical:

Applied Mechanics and Materials (Volumes 90-93)

Pages:

2907-2912

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.90-93.2907

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Online since:

September 2011

Authors:

Yu Sheng Gong, Qian Han, Li Ping Zhang

Keywords:

Elimination of Gross Error, Fitting of the Elevation of Gnss, MATLAB, Method of Polynomial Surface Fitting

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