Modeling method for improved polynomial model suitable for vertical total electron content modeling of regional ionized layer

Abstract

The invention discloses a modeling method for an improved polynomial model suitable for vertical total electron content modeling of a regional ionized layer. The method comprises the following steps of S1, obtaining puncture point geographic longitude and latitude information of a regional observation point and vertical total electron content information of the ionized layer at the corresponding moment; S2, performing conversion through known data to obtain information of solar hour angle difference, geomagnetic latitude and local time; S3, selecting model parameters, constructing an equation of a calculation amount and the selected parameters, and building a vertical total electron content model of the regional ionized layer; and S4, calculating improved polynomial model parameters through a least square method, thereby finishing the building of a vertical total electron content correction model of the regional ionized layer. According to the method, the advantage of a conventional polynomial fitting model in spatial curved surface fitting is well reserved, the characteristic of nonlinear vibration, along with time, of delay information of the ionized layer is considered, and the space-time change characteristic of the regional ionized layer is better simulated; and compared with the conventional polynomial model, the precision is improved.

Description

Technical field [0001] The invention relates to the field of global navigation systems, and in particular to an improved polynomial model modeling method suitable for modeling the vertical total electron content of the regional ionosphere. Background technique [0002] In the research and application of GNSS ionospheric modeling, there are mainly two types of ionospheric models: one is the empirical model, including the Klobuchar model, IRI model, and Bent model used in GPS. The empirical model is more complex and has poor correction effect. Generally not suitable for high-precision ionospheric delay modeling and GNSS positioning; the other type is a fitted ionospheric model constructed based on high-precision GNSS dual-frequency observation data. Depending on the modeling area, generally commonly used ionospheric models Including the following three types: polynomial model (POLY), spherical harmonic function model (SHF), trigonometric series (TSF) model. However, the fitting ac...

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Problems solved by technology

However, the fitting accuracy of the ionospheric delay of these three ionospheric models in the prior art is low, so it is necessary to develop a model with high fitting accuracy

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