Ionosphere monitoring and modeling method based on carrier phase observed value of GNSS

Abstract

The invention provides an ionosphere monitoring and modeling method based on the carrier phase observed value of the GNSS. The method is based on an un-differential and un-combined PPP model, and by increasing constraints of prior information, space domain, and time domain of the ionosphere, conducts real-time estimation of ionospheric delay as an unknown parameter, thus providing a novel means for dynamic monitoring and scientific research of the ionosphere. Also, the method, with high-precision carrier phase as the amount of observation, increases the precision of ionosphere monitoring and modeling by using GNSS pseudo-range measurement. In addition, by establishing a real-time high resolution ionosphere model, the method increases the timeliness of ionospheric products and the quality of navigation positioning service for a single-frequency user. According to the invention, the method features in cut-edging algorithm, high precision, excellent stability, real-timeness, and easy operation. The method integrates packaging of multi-mode satellite navigation systems, such as BDS, GPS, GLONASS, etc, and is easy to implement.

Description

technical field [0001] The invention relates to an ionospheric monitoring and modeling method. Background technique [0002] The ionosphere research based on Global Navigation Satellite System (GNSS) is mainly divided into two categories. One is to correct the ionospheric delay error in the signal. Dual-frequency users often use the ionospheric-free combination method, and single-frequency users can use ionospheric model correction or parameter estimation methods; the other is to perform dynamic monitoring and modeling of the ionosphere. Due to the advantages of continuity, high precision, and globality of GNSS observations, it has become a new and important technical means for ionospheric monitoring and modeling. At present, many GNSS product centers at home and abroad provide global ionospheric products, which can be used by different users for ionospheric delay error correction and ionospheric activity law research. However, the current GNSS ionospheric monitoring and m...

AI Technical Summary

Problems solved by technology

However, the current GNSS ionospheric monitoring and modeling methods have some shortcomings

On the one hand, they are all based on pseudo-range observations or carrier-smoothed pseudo-range values, and their accuracy is worse than high-precision carrier phase observations; on the other hand, the time resolution of the model is weak, and the time resolution of the general grid ionospheric model is Two hours or more; third, modeling usually requires a single-layer model assumption and projection function to convert the oblique path delay to the zenith direction delay, and needs to estimate the ionospheric delay and hardware delay error at the same time, and the model strength is weak

Images