Design and Development of Indoor Positioning System for Portable Devices
Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
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, have 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 IMU, 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 96.86%.
Place, publisher, year, edition, pages
2013. , 72 p.
Technology, Pedestrian dead reckoning, Inertial Navigation System, Bayesian filtering, Wifi positioning
IdentifiersURN: urn:nbn:se:ltu:diva-52542Local ID: 9ac68557-d6f4-470f-ba75-83a6a8c79db9OAI: oai:DiVA.org:ltu-52542DiVA: diva2:1025912
Subject / course
Student thesis, at least 30 credits
Space Engineering, master's level
Halme, AarneSyrjarinne, Jari
Validerat; 20130224 (global_studentproject_submitter)2016-10-042016-10-04Bibliographically approved