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dc.creatorSerna Santiago, Elena
dc.date.accessioned2017-05-24T06:58:59Z
dc.date.available2017-05-24T06:58:59Z
dc.identifier.urihttp://dspace.cc.tut.fi/dpub/handle/123456789/24894
dc.description.abstractWireless Local Area Networks (WLAN) are extending its fields of application and and, in addition, they start to support the indoor wireless positioning. Nevertheless, the challenges they have to deal with are highly compelling, since indoor environments are surronded by walls, floors, obstacles,etc., that affect the signal propagation and, therefore, the accuracy of the positioning. The thesis work addressed here aims to explore the features and the performance of a new positioning technique to be applied in indoor environments in future WLANs. The proposed technique consists of a passive positioning approach based on two well-known methods for positioning: distance-based and angle-based algorithms. Moreover, the used to standarize technique is developed on the basis of the new amendment of IEEE 802.11az in order to standarize the Next Generation Position Systems (NGP). Therefore, the scope of the thesis work is mainly to verify whether the proposed passive positioning technique suits the requirements specified in 802.11az amendment through simulating different use cases. A Matlab GUI interface has been created to test and compare various 802.11az-based scenarios. The main thesis findings are that, in order to support a positioning accuracy below 0.1m, timing measurements should have a maximum error variance of 80 ns and pure angle-based measurements are not sufficient.en
dc.format.extentxi, 83
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.rightsThis publication is copyrighted. You may download, display and print it for Your own personal use. Commercial use is prohibited.
dc.titlePassive Positioning Approaches in the Future Positioning Systemsen
dc.identifier.urnURN:NBN:fi:tty-201705241508
dc.contributor.laitosElektroniikka ja tietoliikennetekniikka – Electronics and Communications Engineeringen
dc.contributor.tiedekuntaTieto- ja sähkötekniikan tiedekunta – Faculty of Computing and Electrical Engineeringen
dc.contributor.yliopistoTampereen teknillinen yliopisto - Tampere University of Technology
dc.programmeElectrical Engineeringen
dc.date.published2017-06-07
dc.permissionPermission granteden
dc.contributor.thesisadvisorSimona Lohan, Elena
dc.contributor.degreesupervisorSimona Lohan, Elena
dc.type.ontasotDiplomityö - Master's thesis


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