Abstract

Currently, ABAS (aircraft based augmentation system) is covered by RAIM (Receiver Autonomous Integrity Monitoring), which allows assuring the integrity of the navigation information received by the aircraft from GPS satellites for non-precision approach services. The receivers perform integrity checks considering a set of fixed assertions regarding the nominal performances and probability of faults for single-frequency GPS satellites. ARAIM (Advanced Receiver Autonomous Integrity Monitoring) solution consists of an evolution of the traditional RAIM concept providing a mechanism to update the information related to the fault rates of GNSS core constellations. To compute this information, a ground segment infrastructure shall be responsible for monitoring the GNSS constellations, computing and codifying the ARAIM integrity support message or ISM. ARAIM service expands the traditional single-constellation, single-frequency RAIM solution towards a world-wide and the multi-constellation, dual-frequency receiver concept. Different ARAIM architectures have been defined: •Horizontal ARAIM. This service aims to support horizontal navigation (RNP 0.3 and RNP 0.1). The ISM generation is based on an off-line monitoring used to establish trust in the constellation performance. Horizontal ARAIM ISM parameters are not considered to change over short time scales (~1 year). •Off-line ARAIM. This service aims to support horizontal and vertical navigation down to LPV-200. It uses the same ISM parameters as horizontal ARAIM with higher update (~1 month) and a similar user algorithm extended to provide vertical guidance. •On-line ARAIM to support horizontal and vertical navigation down to LPV-200. Additional to the same integrity and fault rates information as the other ARAIM services, the ISM message contains corrections to ephemeris and clock data broadcast by the core GNSS constellations. The transmission of corrections means that the ISM information is no longer the error characterization of the GNSS constellation but that of the ARAIM service. In this context, GMV has developed the magicARAIM suit. The platform covers the ISM generation, performance monitoring and a user terminal. As a consequence, it provides an end-to-end testbed environment capable of supporting trade-offs oriented both to the development of the ARAIM service (including Off-line and On-line ARAIM) and its user segment. At this respect, the present paper aims to: •Introduce and present the different ARAIM services. •Describe magicARAIM end-to-end platform, including the ISM generation and the associated analysis tools. •Present the different experimentation performed using magicARAIM suite. •Present achievable performances for an Off-line ARAIM experimentation, including data acquisition, data processing and result analysis. •Present achievable performances when running experimentations with the platform and considering GPS and GALILEO dual-frequency scenarios based on RT CORS stations processing for an On-line ARAIM Architecture.

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