1 research outputs found
GNSS Autonomous Integrity Monitoring with Barometric Pressure Measurements and Weather Data
Vertical navigation is essential for new aviation operations like precision approaches and automatic landing which are expected
to be primarily based on Global Navigation Satellite Systems (GNSS). However, achieving tighter vertical requirements with
GNSS is challenging due to the inherent geometrical limitations. Current Aircraft-Based Augmentation Systems (ABAS)
developments focus on proving that Advanced Receiver Autonomous Integrity Monitoring (ARAIM) is able to provide a robust
operation for horizontal services and vertical guidance via the use of Multi-frequency and Multi-constellation GNSS. Although
ARAIM can achieve high levels of integrity, the availability and continuity of the system may be compromised by the loss
of satellites or high presence of cycle slips. For this reason, the support of onboard sensors like barometers is essential
to guarantee all the vertical navigation requirements and extend the achievable accuracy and integrity for future even more
stringent operations. This paper aims at augmenting GNSS navigation with geodetic altitude obtained from aircraft barometric
pressure measurements and external weather data within a robust navigation architecture based on ARAIM. The present work
describes the derivations of the threat and error models that are required for the inclusion of this barometric geodetic altitude
into ARAIM. The improvement in availability is simulated world-wide with respect to the expected uncertainty of the geodetic
barometric altitude. Then, real flight data is used to show the benefit of the barometer augmentation on the integrity of the
navigation solution under real operational scenarios. The error models are obtained from several hours of flight data collected
during a flight tests campaign performed in 2018 with the German Aerospace Center’s (DLR) Dassault Falcon aircraft