Design and development of indoor positioning system for portable devices

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Volume Title
School of Electrical Engineering | Master's thesis
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Date
2013
Major/Subject
Automaatiotekniikka
Mcode
AS-84
Degree programme
Language
en
Pages
(8) + 63
Series
Abstract
Indoor positioning has emerged in recent years for providing navigation information indoors and for other positioning related services. Indoor positioning and navigation in smart phones has become possible with the availability of good processors, sensors' and connectivity in smart phone. The development of a system that utilizes these technologies for indoor positioning has been discussed. This system integrates wifi positioning, inertial sensors' data and buildings' map information for indoor navigation. Micro electromechanical systems (MEMS) based gyroscopes and accelerometers, has been used for providing pedestrian dead reckoning; and a Bayesian filter based on Monte Carlo simulation (particle filter) has been designed for integration of wifi positioning, pedestrian dead reckoning and buildings' map information for indoor navigation. This filter provides the state of the user estimated as a weighted mean of the approximated distribution obtained from particle filter. The positioning system has been built with XSENS MTW IMV, Acer ICONIA tablet running MATLAB. The developed system provides indoor positioning with mean square error within 1 meter, the error value of less than 2.5 m 95% of the time with the consistency of more than 90%:
Description
Supervisor
Halme, Aarne|Gustafsson, Thomas
Thesis advisor
Syrjärinne, Jari
Keywords
pedestrian dead reckoning, wifi positioning, Bayesian filtering
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