[HTML][HTML] Investigating GNSS PPP–RTK with external ionospheric constraints
Abstract Real-Time Kinematic Precise Point Positioning (PPP–RTK) is inextricably linked to
external ionospheric information. The PPP–RTK performances vary much with the accuracy …
external ionospheric information. The PPP–RTK performances vary much with the accuracy …
Sparse reconstruction of 3-D regional ionospheric tomography using data from a network of GNSS reference stations
3-D computerized ionospheric tomography (CIT) is an ill-posed problem due to the
insufficient amount of observations, it remains challenging for practical applications. In this …
insufficient amount of observations, it remains challenging for practical applications. In this …
Developing a new combined model of zenith wet delay by using neural network
M Ding - Advances in Space Research, 2022 - Elsevier
The motivation of this research is to develop a more accurate global empirical model of
zenith wet delay (ZWD) based on a neural network model, which was carried out by …
zenith wet delay (ZWD) based on a neural network model, which was carried out by …
Preliminary analysis and evaluation of BDS-2/BDS-3 precise point positioning
H Chen, X Liu, W Jiang, P Yuan, B Ju… - Advances in Space …, 2021 - Elsevier
Precise point positioning (PPP) is a very important function of satellite navigation system. In
this contribution, the combination of BDS-2 and BDS-3 PPP is researched. To begin with, the …
this contribution, the combination of BDS-2 and BDS-3 PPP is researched. To begin with, the …
Electron density reconstruction by ionospheric tomography from the combination of GNSS and upcoming LEO constellations
Computerized ionospheric tomography (CIT) based on Global Navigation Satellite System
(GNSS) data is a worthwhile project. However, predominant issues like unevenly distributed …
(GNSS) data is a worthwhile project. However, predominant issues like unevenly distributed …
Virtual reference station technology for voxels without signal ray in ionospheric tomography based on machine learning
A new three-dimensional computerized ionospheric tomography model (VRS-ML-CIT) was
developed in this study combining virtual reference station (VRS) and machine learning …
developed in this study combining virtual reference station (VRS) and machine learning …
[HTML][HTML] Neural network-based models for estimating weighted mean temperature in China and adjacent areas
F Long, W Hu, Y Dong, J Wang - Atmosphere, 2021 - mdpi.com
The weighted mean temperature (T m) is a key parameter when converting the zenith wet
delay (ZWD) to precipitation water vapor (PWV) in ground-based Global Navigation Satellite …
delay (ZWD) to precipitation water vapor (PWV) in ground-based Global Navigation Satellite …
An extended inter-system biases model for multi-GNSS precise point positioning
The inter-system bias (ISB) is an important parameter in multi-GNSS precise point
positioning (PPP). However, on the one hand, the generation mechanism and error …
positioning (PPP). However, on the one hand, the generation mechanism and error …
[HTML][HTML] Lithosphere ionosphere coupling associated with seismic swarm in the Balkan Peninsula from ROB-TEC and GPS
L Wei, J Li, L Liu, L Huang, D Zheng, X Tian, L Huang… - Remote Sensing, 2022 - mdpi.com
With the rapid development of global navigation satellite systems (GNSS) and their
increasingly wide range of applications in atmospheric science, total electron content (TEC) …
increasingly wide range of applications in atmospheric science, total electron content (TEC) …
Ionospheric tomography: A compressed sensing technique based on dictionary learning
Global Navigation Satellite System (GNSS) observation insufficiency limits the development
of the voxel-based computerized ionospheric tomography (CIT) technique. Electron …
of the voxel-based computerized ionospheric tomography (CIT) technique. Electron …