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Multi Sensor-Multi Mode Integration for Indoor Navigation with Smartphones

dc.contributor.advisorLachapelle, Gérard
dc.contributor.advisorLin, Tao
dc.contributor.authorLi, Lingran
dc.date.accessioned2016-10-04T15:23:46Z
dc.date.available2016-10-04T15:23:46Z
dc.date.issued2016
dc.date.submitted2016en
dc.identifier.citationLi, L. (2016). Multi Sensor-Multi Mode Integration for Indoor Navigation with Smartphones (Unpublished master's thesis). University of Calgary, Calgary, AB. doi:10.11575/PRISM/27040en_US
dc.identifier.urihttp://hdl.handle.net/11023/3370
dc.description.abstractIndoor navigation is now used in many applications. For enhanced positioning accuracy indoors, this thesis develops the strategies and algorithms for multiple navigational integration modes coupled with multi-sensors fusion in smartphones. The sensors consist of an INS-magnetometer triad and a pressure sensor, in addition to WiFi signals. The main focus is to make full use of the complementary features of different sensors and different navigation modes to improve accuracy. One of the sensors, namely pressure sensor, complements the limitations of PDR and WiFi by extending the position dimension from 2D to 3D. A centralized Kalman filter is designed and implemented for the proposed integration strategies including PDR and INS, WiFi and INS, as well as combination of PDR, WiFi and INS. Extensive indoor tests conducted in various buildings are used to evaluate the above strategies. Related navigation performance metrics are evaluated and inter-compared and their error statistics are summarized.en_US
dc.language.isoeng
dc.rightsUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.
dc.subjectGeotechnology
dc.subject.classificationIndoor Navigationen_US
dc.subject.classificationComplementary integrationen_US
dc.subject.classificationKalman Filteren_US
dc.titleMulti Sensor-Multi Mode Integration for Indoor Navigation with Smartphones
dc.typemaster thesis
dc.publisher.facultyGraduate Studies
dc.publisher.institutionUniversity of Calgaryen
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/27040
thesis.degree.nameMaster of Science
thesis.degree.nameMS
thesis.degree.nameMSc
thesis.degree.disciplineGeomatics Engineering
thesis.degree.grantorUniversity of Calgary
atmire.migration.oldid5054
dc.contributor.committeememberEl-Sheimy, Naser
dc.contributor.committeememberKattan, Lina
dc.publisher.placeCalgaryen
ucalgary.item.requestcopytrue


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University of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.