A Succinct Method for Non-Line-of-Sight Mitigation for Ultra-Wideband Indoor Positioning System.

Ang Liu, Shiwei Lin, Jianguo Wang, Xiaoying Kong
Author Information
  1. Ang Liu: Faculty of Engineering and Information Technology, University of Technology Sydney, 81 Broadway, Ultimo, Sydney, NSW 2007, Australia. ORCID
  2. Shiwei Lin: Faculty of Engineering and Information Technology, University of Technology Sydney, 81 Broadway, Ultimo, Sydney, NSW 2007, Australia. ORCID
  3. Jianguo Wang: Faculty of Engineering and Information Technology, University of Technology Sydney, 81 Broadway, Ultimo, Sydney, NSW 2007, Australia. ORCID
  4. Xiaoying Kong: School of IT and Engineering, Melbourne Institute of Technology, Sydney Campus, Sydney, NSW 2007, Australia.

Abstract

Ultra-wideband (UWB) is a promising indoor position technology with centimetre-level positioning accuracy in line-of-sight (LOS) situations. However, walls and other obstacles are common in an indoor environment, which can introduce non-line-of-sight (NLOS) and deteriorate UWB positioning accuracy to the meter level. This paper proposed a succinct method to identify NLOS induced by walls and mitigate the error for improved UWB positioning with NLOS. First, NLOS is detected by a sliding window method, which can identify approximately 90% of NLOS cases in a harsh indoor environment. Then, a delay model is designed to mitigate the error of the UWB signal propagating through a wall. Finally, all the distance measurements, including LOS and NLOS, are used to calculate the mobile UWB tag position with ordinary least squares (OLS) or weighted least squares (WLS). Experiment results show that with correct NLOS indentation and delay model, the proposed method can achieve positioning accuracy in NLOS environments close to the level of LOS. Compared with OLS, WLS can further optimise the positioning results. Correct NLOS indentation, accurate delay model and proper weights in the WLS are the keys to accurate UWB positioning in NLOS environments.

Keywords

References

  1. Sensors (Basel). 2017 Aug 19;17(8): [PMID: 28825624]
  2. Sensors (Basel). 2019 Oct 09;19(20): [PMID: 31601000]
  3. Sensors (Basel). 2022 Jun 08;22(12): [PMID: 35746140]
  4. Sensors (Basel). 2019 Nov 21;19(23): [PMID: 31766352]
  5. Sensors (Basel). 2020 Dec 18;20(24): [PMID: 33352918]

Word Cloud

Created with Highcharts 10.0.0NLOSUWBpositioningcandelaymodelWLSindooraccuracyLOSmethodpositionwallsenvironmentlevelproposedidentifymitigateerrorleastsquaresOLSresultsindentationenvironmentsaccurateUltra-widebandpromisingtechnologycentimetre-levelline-of-sightsituationsHoweverobstaclescommonintroducenon-line-of-sightdeterioratemeterpapersuccinctinducedimprovedFirstdetectedslidingwindowapproximately90%casesharshdesignedsignalpropagatingwallFinallydistancemeasurementsincludingusedcalculatemobiletagordinaryweightedExperimentshowcorrectachievecloseComparedoptimiseCorrectproperweightskeysSuccinctMethodNon-Line-of-SightMitigationUltra-WidebandIndoorPositioningSystem

Similar Articles

Cited By