High-precision ionosphere real-time modeling method

Abstract

The invention belongs to the technical field of GNSS precision data processing, and particularly discloses a method for constructing a high-precision real-time ionosphere model by combining Kalman filtering. The method comprises the steps that firstly, a global navigation satellite system (GNSS) non-difference ambiguity integer solution is adopted to extract a high-precision real-time ionospheric oblique delay (STEC) value at the position of an ionospheric puncture point (IPP), and then the high-precision real-time ionospheric oblique delay (STEC) value at the position of the ionospheric puncture point (IPP) is extracted through a global navigation satellite system (GNSS) non-difference ambiguity integer solution to obtain the high-precision real-time ionospheric oblique delay (STEC) value of the ionospheric puncture point (IPP), and the high-precision real-time ionospheric oblique delay (STEC) value of the ionospheric puncture point (IPP). Using the semi-parameter model to establish an ionosphere forecasting model for a post-event ionosphere model constructed by the multi-source ionosphere observation data; extracting hardware delays of a satellite end and a receiver end based on a post ionosphere model constructed by a non-difference ambiguity integer solution; and constructing a real-time ionosphere model by adopting Kalman filtering and a spherical harmonic function. The invention provides a method for constructing a real-time ionosphere model by combining a non-difference ambiguity integer solution and Kalman filtering, so that the modeling precision of the real-time ionosphere model and the positioning precision of a GNSS single-frequency user are improved, and a basis is provided for monitoring and early warning of space weather.

Description

technical field [0001] The invention belongs to the technical field of GNSS precision data processing, and particularly relates to a high-precision ionospheric real-time modeling method. Background technique [0002] Global Navigation Satellite Systems (GNSS) has been widely used in ionospheric model building and monitoring due to its advantages of high accuracy, wide coverage, and all-weather continuous monitoring. At the same time, with the rapid development of global navigation satellite systems such as GPS, GLONASS, BDS, and Galileo, and the continuous increase of ground GNSS tracking stations, the accuracy and reliability of the global ionosphere model have been continuously improved. At present, the two-dimensional ionospheric grid model constructed based on the assumption of thin ionosphere has become an important data source for current GNSS navigation and positioning users and ionospheric application research. Although the post-event Global Ionosphere Map (GIM) pro...

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Problems solved by technology

[0008] Aiming at the deficiencies in the prior art, the present invention provides a high-precision ionospheric real-time modeling method to solve the problem that there is a deviation of up to ±8TECU in the ionospheric observation data extracted using phase-smoothing pseudo-ranges at the present stage, and the accuracy is relatively low. Poor, affecting the improvement of the accuracy of the real-time ionospheric model

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