engleski

An IGS-based simulator of ionospheric conditions for GNSS positioning quality assessment

The analysis of space weather and ionospheric disturbance effects on satellite navigation, its performance and operation relies upon either the identification of the deteriorating conditions and setting up the GNSS equipment for data collection, or the utilisation of model-based simulators that hopefully resemble the natural conditions of a space weather or an ionospheric event. Here we present an alternative approach, based on the experimentally collected GNSS observations using the International GNSS Service global network of reference stations. In recent development, we have developed an IGS-based statistical learning-driven simulator of ionospheric conditions for GNSS positioning, that examines the requirements given by its user (description of a class of a space weather event with the choice of geographical region and GNSS systems/pseudoranges to be used), finds out the appropriate storm-case through the search of the internet-based archive of space weather indicators, and returns the most suitable IGS RINEX record of GNSS pseudorange observations with which a GNSS (SDR) receiver is to be fed for the space weather/ionospheric effects assessment. Currently in its first development phase, this simulator allows for a rather accurate simulation of the space weather conditions at minimum costs. Future research will be aimed at refining the algorithms for identification of the suitable space weather storm-case by expansion of the related space weather descriptive parameters and deployment of advanced artificial intelligence storm-case selection algorithm.

GNSS positioning performance, GNSS ionospheric delay, GNSS simulator

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