The Galileo System for the Electronic Management of Learning (Galileo)

Galileo System Simulation Facility recent applications & Developments

2012 6th ESA Workshop on Satellite Navigation Technologies (Navitec 2012) & European Workshop on GNSS Signals and Signal Processing ◽

10.1109/navitec.2012.6423085 ◽

2012 ◽

Cited By ~ 1

Author(s):

Osman Kalden ◽

Frank Schmidt-Brucken ◽

Frank Zimmermann ◽

Jorg Pfister

Keyword(s):

System Simulation ◽

Galileo System

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A first step towards a 230W SSPA for Galileo System exploiting European GaN technology

2015 European Microwave Conference (EuMC) ◽

10.1109/eumc.2015.7345976 ◽

2015 ◽

Cited By ~ 3

Author(s):

R. Giofre ◽

P. Colantonio ◽

E. Cipriani ◽

R. Danieli ◽

F. Giannini ◽

...

Keyword(s):

Galileo System

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Localizability Analysis for GPS/Galileo Receiver Autonomous Integrity Monitoring

Journal of Navigation ◽

10.1017/s0373463304002693 ◽

2004 ◽

Vol 57 (2) ◽

pp. 245-259 ◽

Cited By ~ 30

Author(s):

Steve Hewitson ◽

Hung Kyu Lee ◽

Jinling Wang

Keyword(s):

Quality Measures ◽

Integrity Monitoring ◽

Satellite Navigation System ◽

Detection And Identification ◽

External Reference ◽

Galileo System ◽

Receiver Autonomous Integrity Monitoring ◽

Navigation Signals ◽

Gps System ◽

Fundamental Equations

With the European Commission (EC) and European Space Agency's (ESA) plans to develop a new satellite navigation system, Galileo and the modernisation of GPS well underway the integrity of such systems is as much, if not more, of a concern as ever. Receiver Autonomous Integrity Monitoring (RAIM) refers to the integrity monitoring of the GPS/Galileo navigation signals autonomously performed by the receiver independent of any external reference systems, apart from the navigation signals themselves. Quality measures need to be used to evaluate the RAIM performance at different locations and under various navigation modes, such as GPS only and GPS/Galileo integration, etc. The quality measures should include both the reliability and localizability measures. Reliability is used to assess the capability of GPS/Galileo receivers to detect the outliers while localizability is used to determine the capability of GPS/Galileo receivers to correctly identify the detected outlier from the measurements processed.Within this paper, the fundamental equations required for effective outlier detection and identification algorithms are described together with the measures of reliability and localizability. Detailed simulations and analyses have been performed to assess the performances of GPS only and integrated GPS/Galileo navigation solutions with respect to reliability and localizability. Simulation results show that, in comparison with the GPS-only solution, the localizability of the integrated GPS/Galileo solution can be improved by up to 270%. The results also indicate an expectation of a considerable increase in the sensitivity to outliers and accuracy of their estimation with the augmentation of the Galileo system with the existing GPS system.

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