Ionospheric Tomography Model Driven by Dynamic Measured Data and Its Multi-GNSS Verification

Ionospheric electron density monitoring is of great significance for positioning and navigation, communication technology and space weather research. The improved tomography (DCS-PCA) method is proposed in this paper based on the compressive sensing fusion data-driven tomography (CS-PCA) method. The improved method can obtain real-time actual ionospheric characteristics by adding a dynamic measured tomography data-driven module to the CSPCA method, so DCS-PCA is more suitable for monitoring the active ionosphere than CS-PCA. The multi-GNSS observation collected from the ground-based system built by Qianxun Spatial Intelligence Inc. are used during the scintillation period in Hainan, the four-dimensional electron density models are constructed. By the dSTEC analysis of the independent reference station, it is found that the accuracy of the DCS-PCA model is significantly improved compared with the CS-PCA method, and the RMSE of ddSTEC on the GPS system is reduced by nearly 0.2. TECU (TEC Unit). The DCS-PCA method can effectively reconstruct the four-dimensional electron density of the active ionosphere, and plays an important role in the ionospheric monitoring and high-precision positioning.