An analysis of GNSS TEC predictability during a rapidly developing short-term geomagnetic storm using Shannon entropy

Abstract

Ionospheric delay of a satellite signal, determined by Total Electron Content (TEC), is the principal contributor to GNSS positioning performance degradation. Traditional GNSS ionospheric delay correction models are sub-optimised to real environment conditions. We contribute to the problem solution with a proposal for, and demonstration of a algorithm for GNSS ionospheric delay model development for characteristic scenarios of GNSS positioning environment, based on the assessment of TEC predictability using Shannon (information) entropy.