Browsing by Author "JIN, TIAN"
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- ItemOpen AccessAccuracy Assessment and Enhancement of TOF-based UWB RTLS and Improvement on Auto-positioning(2021-04-06) JIN, TIAN; Sadeghpour, Farnaz; Jergeas, George; Dann, Markus; O'Keefe, KyleStudies 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%.