Method for determining regional ionospheric layer delay

Abstract

The invention discloses a method for determining regional ionospheric layer delay. The method includes: collecting data; firstly establishing a regional ionospheric second-order term model according to the collected regional ionospheric VTEC (vertical total electron content) data; establishing a VTEC second-order term model and a fusion model of a neural network; adopting the fusion model to calculate VTEC values of puncture points of other positions in this area. By the method, computed results of the regional ionospheric layer delay are high in precision, and CORS (continuous operational reference system) measured results are wide in application range. A large number of engineering example application result analysis shows that precision of the computed results by the method is improved by 40% as compared to that by the VTEC second-order term model. Ionospheric layer space activity rules are high in fitting degree and high in timeliness, and convenience in use is brought. The ionospheric layer space activity rules can be obtained through analyzing according to fitting results of the neutral network, the ionospheric layer delay in any point in the area can be rapidly corrected, transmission precision and stability of radio waves can be improved, and technical support for better service for CORS can be provided.

Description

Technical field [0001] The invention is a new method for fitting a regional ionospheric delay model based on neural network technology, and belongs to the application field of geodesy and spatial information technology. Background technique [0002] The current methods for solving ionospheric delay errors generally include dual-frequency correction method, differential GPS positioning method, semi-sum correction method and ionospheric model method. The existing ionospheric models can be roughly divided into two categories. [0003] (1) The first type of model [0004] The first type of model is based on some empirical formulas reflecting the changes of the ionosphere based on the observation data collected over a long period of time before the model is established, such as the Bent model, the IRI (International Reference Ionosphere) model, the Klobuchar model, etc. Since there are many factors that affect the ionosphere, many factors have greater arbitrariness, and we have not full...

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Problems solved by technology

[0009] The main problems of the first type of model (empirical model) are: ① low model accuracy; ② the model needs to measure multiple atmospheric parameters in the area, which is time-consuming and laborious

The disadvantages are: ① The ionospheric VTEC data of several locations in the measured area are required; ② The regional fitting model needs to be selected and constructed, and the construction of the fitting model is different, and the accuracy varies greatly

[0013] Due to the lack of a thorough understanding of the ionospheric change law, the fitting model is generally a mathematical function model that is artificially assumed. Therefore, most of the constructed fitting models have model errors

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