Self-adaptive GNSS position estimation process improves mitigation of GNSS ionospheric effects

GNSS resilience against natural and artificial sources of the Global Navigation Satellite System (GNSS) Positioning, Navigation, and Timing (PNT) services deteriorations and disruptions is the most important challenge related to the matured and enabling technology that drives increasing number of applications (technology and socio-economic systems and services). Here we analyse the problem of mitigation of the effects of influential events through introduction of the self- adaptive and transparent GNSS position estimation process that may learn from experience, detect anomalous position environment conditions, and develop and deploy the appropriate GNSS pseudorange correction and GNSS positioning performance forecasting models. Using those bespoke models, GNSS resilience is developed and sustained within the user equipment, complying to the PNT quality requirements. Proposed self- adaptive GNSS position estimation process is validated using positioning performance modelling studies addressing the effects of ionospheric conditions on GPS pseudorange measurement and GPS positioning errors.