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Sensors 2014, 14(8), 14375-14398; doi:10.3390/s140814375

Indoor Magnetic Signature Based Localization Algorithm without Person-Dependent Parameter Calibration

Department of Electrical Engineering, University of Ulsan, Namgu 680-749, Ulsan, Korea
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Received: 24 February 2014 / Revised: 25 July 2014 / Accepted: 31 July 2014 / Published: 7 August 2014
(This article belongs to the Section Sensor Networks)
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Abstract

Location-dependent differences of ambient magnetic fields inside a building can be used to estimate location. In this paper, an inertial/magnetic sensor is attached to a belt position and its location is estimated using the ambient magnetic field. The walking distance is estimated using the linear relationship between the walking step length and the maximum acceleration during the step. The magnetic field data during walking is compared with a pre-collected magnetic signature. In this process, calibration steps are required for two person-dependent parameters : the walking step length estimation parameter and the hard iron parameter. An adaptive algorithm is proposed, in which these person-dependent parameters are estimated in addition to the location. Thus no person-dependent parameter calibration process is required. Through experiments, it is shown that the location and parameters are estimated accurately. View Full-Text
Keywords: inertial sensor; magnetic sensor; magnetic signature; magnetic disturbance; localization inertial sensor; magnetic sensor; magnetic signature; magnetic disturbance; localization
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This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Suh, Y.S.; Amarbayasgalan, B. Indoor Magnetic Signature Based Localization Algorithm without Person-Dependent Parameter Calibration. Sensors 2014, 14, 14375-14398.

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