Design and development of indoor positioning system for portable devices

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.advisorSyrjärinne, Jari
dc.contributor.authorKhan, Muhammad Irshan
dc.contributor.departmentAutomaatio- ja systeemitekniikan laitosfi
dc.contributor.schoolSähkötekniikan korkeakoulufi
dc.contributor.schoolSchool of Electrical Engineeringen
dc.contributor.supervisorHalme, Aarne|Gustafsson, Thomas
dc.date.accessioned2020-12-28T14:58:26Z
dc.date.available2020-12-28T14:58:26Z
dc.date.issued2013
dc.description.abstractIndoor 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%:en
dc.format.extent(8) + 63
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/100620
dc.identifier.urnURN:NBN:fi:aalto-2020122859451
dc.language.isoenen
dc.programme.majorAutomaatiotekniikkafi
dc.programme.mcodeAS-84fi
dc.rights.accesslevelclosedAccess
dc.subject.keywordpedestrian dead reckoningen
dc.subject.keywordwifi positioningen
dc.subject.keywordBayesian filteringen
dc.titleDesign and development of indoor positioning system for portable devicesen
dc.type.okmG2 Pro gradu, diplomityö
dc.type.ontasotMaster's thesisen
dc.type.ontasotPro gradu -tutkielmafi
dc.type.publicationmasterThesis
local.aalto.digiauthask
local.aalto.digifolderAalto_90638
local.aalto.idinssi45844
local.aalto.openaccessno
Files