High-precision ionosphere modeling method fusing multi-source ionosphere observation data

Abstract

The invention belongs to the technical field of GNSS precision data processing, and particularly discloses a high-precision ionosphere modeling method fusing multi-source ionosphere observation data. The method comprises the following steps of extracting the multi-source actually measured ionosphere data at an ionosphere puncture point by adopting a corresponding method; then, using a corresponding ionosphere projection function for converting ionosphere oblique delay into ionosphere vertical delay, and using a single-layer normalization method for conducting normalization processing on the multi-source ionosphere observation data, wherein the normalization processing has the same detection range as the ground-based GNSS ionosphere data; and then estimating the ionosphere modeling parameters of the normalized multi-source ionosphere observation data by using a Helmert variance component estimation method, and generating an ionosphere grid product. The invention provides a method for constructing a high-precision ionosphere model by fusing multi-system GNSS and multi-source ionosphere observation data so as to improve the precision of the global ionosphere model in areas with rare observation stations and the positioning precision of GNSS single-frequency users.

Description

technical field [0001] The invention belongs to the technical field of GNSS precision data processing, and in particular relates to a high-precision ionospheric modeling method for fusing multi-source ionospheric observation data. Background technique [0002] At present, ground-based GNSS monitoring stations are unevenly distributed around the world, resulting in less ionospheric data in areas with harsh ocean and natural conditions, which restricts the accuracy and reliability of the model in corresponding areas. To this end, scholars have used different methods to improve the accuracy and reliability of the ionospheric TEC model. [0003] The first method is to use the ionospheric empirical model as the background field constraint, such as: the International Ionosphere Reference (International Reference Ionosphere, IRI) model, the final ionospheric grid provided by the International GNSS Service (IGS) the day before Products (Global IonosphereMap, GIM), Klobuchar model a...

AI Technical Summary

Problems solved by technology

[0007] Aiming at the deficiencies in the prior art, the present invention provides a high-precision ionospheric modeling method that integrates multi-source ionospheric observation data to solve the differences in the detection range of the ionosphere due to different types of ionospheric observation data , leading to the simple fusion of different types of ionospheric observation data during modeling, which will make the accuracy of the ionospheric model constructed limited.

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