A KFL-TOA UWB indoor positioning method for complex environment

Guosai Yang, Linhui Zhao, Yaping Dai*, Yijun Xu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

30 Citations (Scopus)

Abstract

For the positioning in a complex indoor environment, this paper proposed an indoor positioning method used Ultra-Wide Band (UWB), which based on time of arrival (TOA) principle, combining Kalman filtering and linearized (KFL-TOA). This method can reduce the positioning error and improve positioning accuracy effectively when the UWB signal is interfered by the multipath effect or the non-line-of-sight (NLOS). The DWM1000 module is used in the positioning system. Compared with traditional TOA positioning method, the positioning result show that: In the non-interference condition, The KFL-UWB can reduce 31.7% of the Root Mean Square Error (RMSE) and 31.0% of the Circular Error Probable (CEP); In the multipath effect condition, it can reduce 13.7% of the RMSE and 9.7% of the CEP; In the NLOS condition, it can reduce 32.9% of the RMSE and 36.1% of the CEP.

Original languageEnglish
Title of host publicationProceedings - 2017 Chinese Automation Congress, CAC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3010-3014
Number of pages5
ISBN (Electronic)9781538635247
DOIs
Publication statusPublished - 29 Dec 2017
Event2017 Chinese Automation Congress, CAC 2017 - Jinan, China
Duration: 20 Oct 201722 Oct 2017

Publication series

NameProceedings - 2017 Chinese Automation Congress, CAC 2017
Volume2017-January

Conference

Conference2017 Chinese Automation Congress, CAC 2017
Country/TerritoryChina
CityJinan
Period20/10/1722/10/17

Keywords

  • Kalman filtering
  • NLOS
  • TOA
  • UWB
  • indoor positioning

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