Galileo: The Added Value for Integrity in Harsh Environments
AbstractA global navigation satellite system (GNSS)-based navigation is a challenging task in a signal-degraded environments where GNSS signals are distorted by multipath and attenuated by fading effects: the navigation solution may be inaccurate or unavailable. A possible approach to improve accuracy and availability is the joint use of measurements from different GNSSs and quality check algorithms; this approach is investigated here using live GPS and Galileo signals. A modified receiver autonomous integrity monitoring (RAIM) algorithm, including geometry and separability checks, is proposed to detect and exclude erroneous measurements: the multi-constellation approach provides redundant measurements, and RAIM exploits them to exclude distorted observations. The synergy between combined GPS/Galileo navigation and RAIM is analyzed using live data; the performance is compared to the accuracy and availability of a GPS-only solution. The tests performed demonstrate that the methods developed are effective techniques for GNSS-based navigation in signal-degraded environments. The joint use of the multi-constellation approach and of modified RAIM algorithms improves the performance of the navigation system in terms of both accuracy and availability. View Full-Text
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Borio, D.; Gioia, C. Galileo: The Added Value for Integrity in Harsh Environments. Sensors 2016, 16, 111.
Borio D, Gioia C. Galileo: The Added Value for Integrity in Harsh Environments. Sensors. 2016; 16(1):111.Chicago/Turabian Style
Borio, Daniele; Gioia, Ciro. 2016. "Galileo: The Added Value for Integrity in Harsh Environments." Sensors 16, no. 1: 111.
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