Objetivo
The ATENEA project aims to integrate the deeply integrated GNSS/INS receiver architectures and LIDAR techniques to provide an advanced navigation solution for a wide range of surveying applications in difficult environments. LIDAR devices geolocation and reference for the scanned observables is provided nowadays by loosely coupled GPS receivers and INS, leading to lack of performance in urban scenarios with poor satellite visibility and harsh multipath conditions. The following technologies will be studied within ATENEA to overcome these problems § Multi-constellation GPS/Galileo/EGNOS Increasing availability and continuity. Availability of EGNOS ephemeris and corrections will also reduce position errors and Time-To-First-Fix. § Deeply coupled GNSS/INS receiver design Current state-of-the-art of hybridisation applications will be improved with ultra-tight integration of the inertial sensors, navigation processor and signal processing tracking loops, adding additional robustness under high user dynamics, and allowing for fast mapping applications. § GNSS Phase receiver, exploitation Galileo signals capabilities Error in the pseudorange observables will be reduced as must as possible, using dedicated multipath and interference mitigation techniques and taking benefit of the new Galileo L1 MBOC and E5 AltBOC signals, to allow a fast carrier-phase ambiguity resolution. § Integrated GNSS/INS/LIDAR navigation filter. Finally, an innovative unique integrated navigation solution for the integration of observables from GNSS, IMU, and laser sensors is proposed, allowing to reduce the costs of the current expensive LIDAR devices for precise laser scanning. The different algorithms will be developed and tested in a SW environment (based on the GRANADA simulator and the IADIRA test-bench). A field data collection campaign with real data (in post-processing) will also be carried out, using EGNOS and Galileo early signals.
Ámbito científico
Convocatoria de propuestas
FP7-GALILEO-2008-GSA-1
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Régimen de financiación
CP - Collaborative project (generic)Coordinador
28760 Tres Cantos (Madrid)
España