Multifaceted function method and least squares configuration: research on application of GNSS elevation anomaly fitting

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Authors: Yuhong Wang
Cited by: 0

Abstract

This paper introduces the principle of multifaceted function and least square configuration, and through the example analysis, using Matlab programming to calculate the elevation outliers, residuals and external coincidence accuracy obtained by fitting the two models. The results show that the fitting accuracy of the least square configuration model is better than that of the multifaceted function model. The least square configuration model has certain effectiveness and practicability in GNSS elevation anomaly fitting.

Fields of Study & Subjects

Statistical and numerical algorithms GNSS positioning and interference Geodetic Measurements and Engineering Structures

Publication details

Journal / source
International Conference on Geoscience and Remote Sensing Mapping (GRSM)
Pages
54–54
Publication date
13 January 2026