Physics-informed deep neural network for inhomogeneous magnetized plasma parameter inversion
Plasma parameter inversion is important for space plasma physics and applications,
particularly for inhomogeneous magnetized plasmas. A physics-informed deep neural …
particularly for inhomogeneous magnetized plasmas. A physics-informed deep neural …
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 …
GPS-based ionospheric tomography from the combination of PolSAR and E-CHAIM
C Wang, HS Zhao, LM Wang, L Cao… - … on Geoscience and …, 2024 - ieeexplore.ieee.org
The utilization of global positioning system (GPS) for 3-D ionospheric electron density
reconstruction, ie, computerized ionospheric tomography (CIT), provides significant …
reconstruction, ie, computerized ionospheric tomography (CIT), provides significant …
EMWP-RNN: A Physics-Encoded Recurrent Neural Network for Wave Propagation in Plasmas
Electromagnetic (EM) wave propagation and inversion in complex time-varying medium is a
challenging problem, particularly for plasma applications. We extend the EM wave–plasma …
challenging problem, particularly for plasma applications. We extend the EM wave–plasma …
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 …
3-D computerized ionospheric tomography with GPS, SAR, and ionosonde
The Global Positioning System (GPS)-based computerized ionospheric tomography (CIT)
has the capacity to reconstruct the 3-D ionosphere (ie, electron density distribution), making …
has the capacity to reconstruct the 3-D ionosphere (ie, electron density distribution), making …
A method for dSTEC interpolation: Ionosphere Kernel estimation algorithm
Z Shi, N Zhi, H Fu, D Wang, Y Sui… - … on Geoscience and …, 2022 - ieeexplore.ieee.org
Ionospheric structure is important for estimating ionospheric delay for user stations in the
global navigation satellite system (GNSS). However, most existing parameter estimation …
global navigation satellite system (GNSS). However, most existing parameter estimation …
Three-dimensional ionospheric tomography based on compressed sensing
J Zhao, Q Tang, C Zhou, Z Zhao, F Wei - GPS Solutions, 2023 - Springer
The insufficient number of low-elevation observations is a limitation of the three-dimensional
ionospheric computer tomography (CT) based on the global navigation satellite system …
ionospheric computer tomography (CT) based on the global navigation satellite system …
Spatio-Temporal MUF Inference for HF Communications: A Personalized Federated Learning Framework
F Lin, J Chen, G Ding, Y Jiao… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
High-frequency (HF) communications are vital in both military and commercial fields due to
their ability to propagate across the horizon. Accurately predicting the maximum usable …
their ability to propagate across the horizon. Accurately predicting the maximum usable …
A novel ionospheric inversion model: PINN‐SAMI3 (physics informed neural network based on SAMI3)
Purely data‐driven ionospheric modeling fails to adequately obey fundamental physical
laws. To overcome this shortcoming, we propose a novel ionospheric inversion model …
laws. To overcome this shortcoming, we propose a novel ionospheric inversion model …