Accuracy Assessment and Enhancement of TOF-based UWB RTLS and Improvement on Auto-positioning

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dc.contributor.advisorSadeghpour, Farnaz
dc.contributor.advisorJergeas, George
dc.contributor.authorJIN, TIAN
dc.contributor.committeememberDann, Markus
dc.contributor.committeememberO'Keefe, Kyle
dc.dateSpring Convocation
dc.date.accessioned2023-04-04T18:16:21Z
dc.date.embargolift2023-04-13
dc.date.issued2021-04-06
dc.description.abstractStudies in the past decades have shown Real Time Location Systems (RTLS) have great potential in reducing possible injuries and enhancing productivity. Ultra-Wide Band (UWB), among all the RTLS, has demonstrated the best suitability for construction site conditions due to its higher accuracy, lower dependency on the Line-Of-Site, less signal attenuation and multipath effect. The objective of this study is to investigate and enhance the feasibility of a TOF-based UWB RTLS on construction site applications. The three subobjectives are:1.To assess the performance of the TOF-based UWB under LOS. 2.To develop a new auto-positioning approach: (1) with high accuracy; (2) without BLE or WLAN requirements; (3) without configuration angle and height requirements; (4) without complex input requirements; and (5) has the capability to compute 3D (X, Y, and Z) locations of the anchors. 3.To assess and enhance the accuracy of the TOF-based UWB RTLS under NLOS in construction sites.Through the feasibility assessments conducted in this study, the TOF-based UWB RTLS is verified with high reliability for the performance of the tags, high static and dynamic accuracy, low time latency, and low multiple tags effect. The proposed auto-positioning methodology improved the accuracy by more than 70% and overcame the application barriers of the inherent auto-positioning. The accuracy assessment under NLOS confirmed that large bias rather than noise is induced when multi-path effect exists. Moreover, the proposed residual analysis approach improved the location estimation accuracy by more than 60%.
dc.identifier.citationJin, T. (2021). Accuracy Assessment and Enhancement of TOF-based UWB RTLS and Improvement on Auto-positioning (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca.
dc.identifier.urihttps://prism.ucalgary.ca/handle/1880/116036
dc.identifier.urihttps://dx.doi.org/10.11575/PRISM/dspace/40882
dc.language.isoEnglish
dc.publisher.facultySchulich School of Engineering
dc.subject.classificationEngineering--Civil
dc.titleAccuracy Assessment and Enhancement of TOF-based UWB RTLS and Improvement on Auto-positioning
dc.typemaster thesis
thesis.degree.disciplineEngineering – Civil
thesis.degree.grantorUniversity of Calgary
thesis.degree.nameMaster of Science (MSc)
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