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Indoor Positioning Using Ultrawideband and Inertial Measurements
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
Xsens Technology BV, Netherlands.
Uppsala University, Sweden.
2015 (English)In: IEEE Transactions on Vehicular Technology, ISSN 0018-9545, E-ISSN 1939-9359, Vol. 64, no 4, 1293-1303 p.Article in journal (Refereed) Published
Abstract [en]

In this paper, we present an approach to combine measurements from inertial sensors (accelerometers and gyroscopes) with time-of-arrival measurements from an ultrawideband (UWB) system for indoor positioning. Our algorithm uses a tightly coupled sensor fusion approach, where we formulate the problem as a maximum a posteriori (MAP) problem that is solved using an optimization approach. It is shown to lead to accurate 6-D position and orientation estimates when compared to reference data from an independent optical tracking system. To be able to obtain position information from the UWB measurements, it is imperative that accurate estimates of the UWB receivers positions and their clock offsets are available. Hence, we also present an easy-to-use algorithm to calibrate the UWB system using a maximum-likelihood (ML) formulation. Throughout this work, the UWB measurements are modeled by a tailored heavy-tailed asymmetric distribution to account for measurement outliers. The heavy-tailed asymmetric distribution works well on experimental data, as shown by analyzing the position estimates obtained using the UWB measurements via a novel multilateration approach.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2015. Vol. 64, no 4, 1293-1303 p.
Keyword [en]
Calibration; heavy-tailed noise distribution; inertial sensors; sensor fusion; ultrawideband (UWB)
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
URN: urn:nbn:se:liu:diva-118060DOI: 10.1109/TVT.2015.2396640ISI: 000353111900004OAI: diva2:812885

Funding Agencies|Control, Autonomy, and Decision-making In Complex Systems (CADICS): a Linnaeus Center - Swedish Research Council (VR); BALANCE: a European Commission FP7 Research Project; Swedish Research Council (VR) [621-2013-5524]

Available from: 2015-05-20 Created: 2015-05-20 Last updated: 2015-05-27

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