LEO Satellite Navigation, Timing, and Space Weather Interaction
This community investigates how low Earth orbit (LEO) satellites can be used for precise positioning and time synchronization, while simultaneously studying how space weather phenomena like geomagnetic storms and ionospheric plasma distort satellite signals and network performance.
The work centers on mitigating clock bias and estimating precise orbits for LEO constellations to improve Global Navigation Satellite System (GNSS) accuracy. Researchers develop algorithms for Doppler positioning and inter-frequency clock offset correction, often applying machine learning to process signals of opportunity from commercial networks like Starlink and OneWeb. A parallel strand examines the physical environment, modeling field-aligned currents, equatorial plasma bubbles, and solar wind interactions that degrade communication links and timing integrity. These studies frequently employ neural networks to predict ionospheric delays and assess the resilience of satellite networks against node failures and atmospheric disturbances.
The largest share of the community's output is found in Iridium research, accounting for 0.8% of all Iridium-related papers, with 324 papers in this group. Neon and Rubidium research also appear, though with smaller shares of their respective element research.
The community comprises 2,443 papers, publishing primarily in the Journal of Geophysical Research Space Physics, Remote Sensing, and GPS Solutions. Recent work focuses on the resilience of mega-constellations to node failures, probabilistic forecasting for routing, and the coupling of ionosphere-thermosphere dynamics during geomagnetic superstorms.