engleski

Categorisation of space weather and GNSS positioning quality indicators for estimation of GNSS positioning quality degradation

Space weather drives ionospheric dynamics, the major contributor to GNSS positioning performance, thus affecting a growing number of GNSS-related technology and socio-economic system. In development of a model capable of forecasting the GPS positioning performance deterioration caused by space weather, an appropriate choice of measurable descriptors of space weather, geomagnetic and ionospheric dynamics, GPS pseudorange measurement errors, and GPS positioning performance appeared an essential choice. Here we present the result of the study aimed at assessing the relevance of measured space weather, geomagnetic and ionospheric dynamics, GPS pseudorange measurement errors, and GPS positioning performance indices for utilisation in development of GPS positioning performance degradation forecasting model due to space weather effects. The Principal Components Analysis method is applied on the assembled set of experimental descriptors of the whole chain of the environment for satellite positioning in order to categorise the descriptors based on their individual and collective influence on the GPS positioning performance. Deployed in scenario of quiet space weather conditions to identify the systematic effects on GPS positioning performance, study results show complexity of the whole environment for satellite positioning, with geomagnetic indices playing an important role in influencing GPS positioning performance.

GNSS positioning performance, space weather categorisation, principal component analysis

nije evidentirano