The work deals with introduction of GNSS (Global Navigation Satellite System) technology into the railway sector. Particularly, since the requirements imposed by the railway environment are stringent, the use of an external mean for providing integrity monitoring and augmentation is highly recommended. In this paper, we show an algorithm based on GNSS code double differences to identify and exclude multiple satellite faults by using data acquired by multiple reference stations. The simulations results carried out in this framework are presented in terms of detection probability and false alarm rate.
Salvatori, P., Stallo, C., Coluccia, A., Neri, A., Rispoli, F. (2018). An Integrity Monitoring Algorithm Design Based on Code Double Differences for Rail GNSS Augmentation Network. In IEEE 4th International Forum on Research and Technologies for Society and Industry, RTSI 2018 - Proceedings (pp.1-5). Institute of Electrical and Electronics Engineers Inc. [10.1109/RTSI.2018.8548506].
An Integrity Monitoring Algorithm Design Based on Code Double Differences for Rail GNSS Augmentation Network
Salvatori, P.;Neri, A.;
2018-01-01
Abstract
The work deals with introduction of GNSS (Global Navigation Satellite System) technology into the railway sector. Particularly, since the requirements imposed by the railway environment are stringent, the use of an external mean for providing integrity monitoring and augmentation is highly recommended. In this paper, we show an algorithm based on GNSS code double differences to identify and exclude multiple satellite faults by using data acquired by multiple reference stations. The simulations results carried out in this framework are presented in terms of detection probability and false alarm rate.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
