Title :
Autonomous onboard navigation system for LEO satellites using data fusion
Author :
Janschek, K. ; Boge, T. ; Doge, K.P.
Author_Institution :
Dept. of Electr. Eng., Tech. Univ. Dresden, Dresden, Germany
fDate :
Aug. 31 1999-Sept. 3 1999
Abstract :
This paper aims to demonstrate the capabilities of a minimum hardware configuration for autonomous onboard navigation of LEO satellites consisting of one GPS/GLONASS receiver, one 3-axes magnetometer and landmark data provided by a payload earth observation camera. The paper discusses the overall system architecture and the principles of magnetometer and landmark navigation. A data fusion algorithm based on an Extended Kalman Filter is presented as well as a new algorithm for landmark recognition and matching. Performance results, showing the beneficial capabilities of data fusion, are given for backup magnetometer/landmark operation based on simulation studies for the TUD-Satellite road traffic monitoring demonstration mission Traffic Eye as application reference.
Keywords :
Global Positioning System; Kalman filters; image fusion; image matching; magnetometers; nonlinear filters; road traffic control; 3-axis magnetometer; GPS/GLONASS receiver; LEO satellites; TUD-satellite road traffic monitoring; Traffic Eye; autonomous onboard navigation; autonomous onboard navigation system; data fusion; extended Kalman filter; landmark matching; landmark navigation; landmark recognition; low-Earth orbit satellite; magnetometer; minimum hardware configuration; payload earth observation camera; system architecture; Estimation; Magnetic field measurement; Magnetic resonance imaging; Magnetic separation; Magnetometers; Satellite navigation systems; autonomous navigation; extended Kalman filter; information fusion; landmark; magnetometer;
Conference_Titel :
Control Conference (ECC), 1999 European
Conference_Location :
Karlsruhe
Print_ISBN :
978-3-9524173-5-5
