Title :
Sensor data fusion in UWB-supported inertial navigation systems for indoor navigation
Author :
Zwirello, Lukasz ; Xuyang Li ; Zwick, T. ; Ascher, Christian ; Werling, Sebastian ; Trommer, Gert F.
Author_Institution :
Inst. fur Hochfrequenztech. und Elektron. (IHE), Karlsruher Inst. fur Technol. (KIT), Karlsruhe, Germany
Abstract :
Indoor navigation using inertial sensors with additional radio-signal support is considered in this paper. The experimental results of data fusion between a navigation system, based on inertial measurement unit (IMU) and impulse-based UWB localization system, are presented. The IMU is additionally supported by a pedestrian step length estimations, barometer and electronic compass. The Ultra-Wideband part consists of receiver, carried by the person, and access points distributed in the scenario. The focus of the paper is put on hardware implementation and choice of the optimal data fusion technique. The presented results indicate the clear benefit of tightly coupled navigation filter, where the time differences of arrival of UWB signals are directly processed, without prior calculation of the localization solution.
Keywords :
Kalman filters; barometers; compasses; indoor radio; inertial navigation; pedestrians; radio receivers; sensor fusion; ultra wideband technology; UWB signals; UWB-supported inertial navigation systems; access points; barometer; coupled navigation filter; electronic compass; hardware implementation; impulse-based UWB localization system; indoor navigation; inertial sensor inertial measurement unit; optimal sensor data fusion technique; pedestrian step length estimations; radiosignal support; ultrawideband part; Accuracy; Cloning; Data integration; Navigation; Position measurement; Synchronization; Uncertainty;
Conference_Titel :
Robotics and Automation (ICRA), 2013 IEEE International Conference on
Conference_Location :
Karlsruhe
Print_ISBN :
978-1-4673-5641-1
DOI :
10.1109/ICRA.2013.6631016