Title :
Lightweight GNSS/IRS integrated navigation system for UAV vehicles
Author :
Petritoli, Enrico ; Giagnacovo, Tonino ; Leccese, Fabio
Author_Institution :
LTG Elettron. S.r.l., Rome, Italy
Abstract :
The advent of new sensors allows to create smaller and lighter inertial systems than ever before: thanks to their compact size, low cost and low power consumption, they can be installed on flying platforms such as UAV systems, to improve the reliability of autonomous navigation. The merging of the Inertial Reference System (IRS) and GNSS data through the Kalman filter gives a significantly improve to the autonomous navigation performance both in terms of accuracy and integrity. This paper is focused on the methods and techniques of GNSS integrated with an Inertial Reference System and their applications in UAV autonomous navigation systems.
Keywords :
Kalman filters; autonomous aerial vehicles; satellite navigation; Kalman filter; UAV autonomous navigation systems; UAV vehicles; inertial reference system; lightweight GNSS-IRS integrated navigation system; Earth; Global Positioning System; Kalman filters; Oscillators; Vehicles; GPS; IRS; Kalman; Navigation; Strapdown; UAV;
Conference_Titel :
Metrology for Aerospace (MetroAeroSpace), 2014 IEEE
Conference_Location :
Benevento
DOI :
10.1109/MetroAeroSpace.2014.6865894