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Sensors 2017, 17(11), 2534; https://doi.org/10.3390/s17112534

Loose Coupling of Wearable-Based INSs with Automatic Heading Evaluation

Institute of Communications and Navigation, German Aerospace Centre (DLR), Oberpfaffenhofen, 82234 Wessling, Germany
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Received: 5 October 2017 / Revised: 30 October 2017 / Accepted: 30 October 2017 / Published: 3 November 2017
(This article belongs to the Special Issue Inertial Sensors for Positioning and Navigation)
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Abstract

Position tracking of pedestrians by means of inertial sensors is a highly explored field of research. In fact, there are already many approaches to implement inertial navigation systems (INSs). However, most of them use a single inertial measurement unit (IMU) attached to the pedestrian’s body. Since wearable-devices will be given items in the future, this work explores the implementation of an INS using two wearable-based IMUs. A loosely coupled approach is proposed to combine the outputs of wearable-based INSs. The latter are based on a pocket-mounted IMU and a foot-mounted IMU. The loosely coupled fusion combines the output of the two INSs not only when these outputs are least erroneous, but also automatically favoring the best output. This approach is named smart update. The main challenge is determining the quality of the heading estimation of each INS, which changes every time. In order to address this, a novel concept to determine the quality of the heading estimation is presented. This concept is subject to a patent application. The results show that the position error rate of the loosely coupled fusion is 10 cm/s better than either the foot INS’s or pocket INS’s error rate in 95% of the cases. View Full-Text
Keywords: wearable devices; position tracking; INS; IMU; pedestrian navigation; fusion; drift; quality factor; heading quality, inertial navigation wearable devices; position tracking; INS; IMU; pedestrian navigation; fusion; drift; quality factor; heading quality, inertial navigation
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Bousdar Ahmed, D.; Munoz Diaz, E. Loose Coupling of Wearable-Based INSs with Automatic Heading Evaluation. Sensors 2017, 17, 2534.

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