Indoor Positioning Using WLAN Signal Fingerprint Matching and Path Evaluation with Retroactive Adjustment on Mobile Devices

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dc.contributor.advisorSohn, Gunho
dc.contributor.advisorLee, Regina
dc.contributor.authorGulo, Eros
dc.date.accessioned2020-11-13T13:44:49Z
dc.date.available2020-11-13T13:44:49Z
dc.date.copyright2020-05
dc.date.issued2020-11-13
dc.date.updated2020-11-13T13:44:49Z
dc.degree.disciplineEarth & Space Science
dc.degree.levelMaster's
dc.degree.nameMSc - Master of Science
dc.description.abstractThe availability of GNSS has spurred a plethora of location-aware services. However, GNSS are only reliably available outdoors, leaving a large gap for a solution in indoor environments where people spend most of their time. The ubiquity of mobile devices, and the many information sources available on them, provide many avenues for a potential indoor positioning solution. A novel indoor positioning system is presented herein, using WLAN Signal Fingerprint Matching (WSFM) and a Path Evaluation and Retroactive Adjustment (PERA) module. The PERA module aims to improve the positioning accuracy by fusing the results obtained by WSFM with a multi-scale movement regularity evaluation. Using only WSFM, the implemented end-to-end positioning system yields room level positioning accuracy (less than 3-5 metres of error) 90% of the time across various environments. Employing the PERA module reduces positioning error to less than 2-3 metres 95% of the time across all testing settings.
dc.identifier.urihttp://hdl.handle.net/10315/37868
dc.languageen
dc.rightsAuthor owns copyright, except where explicitly noted. Please contact the author directly with licensing requests.
dc.subjectInformation technology
dc.subject.keywordsIndoor Positioning
dc.subject.keywordsFingerprint Matching
dc.subject.keywordsPath Assessment
dc.subject.keywordsPath Evaluation
dc.subject.keywordsMovement Regularity
dc.subject.keywordsWLAN
dc.subject.keywordsWi-Fi
dc.subject.keywordsLocation
dc.subject.keywordsLocalization
dc.titleIndoor Positioning Using WLAN Signal Fingerprint Matching and Path Evaluation with Retroactive Adjustment on Mobile Devices
dc.typeElectronic Thesis or Dissertation

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