Hybrid TDOA/AOA indoor positioning and tracking using extended kalman filters

  • Chin Der Wann*
  • , Yi Jing Yeh
  • , Chih Sheng Hsueh
  • *Corresponding author for this work

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

76 Scopus citations

Abstract

A hybrid time-difference-of-arrival / angle-of-arrival (TDOA/AOA) positioning technique for indoor ultra wideband (UWB) systems is presented in this paper. The non line-of-sight (NLOS) propagation error is considered one of the major error sources in location systems; therefore, NLOS identification and mitigation technique with Kalman filters are utilized to reduce the NLOS time-of-arrival (TOA) errors in indoor UWB environments. To deal with the effects of inaccurate NLOS AOA data, an AOA selection process is included. An adjustable extended Kalman filter (EKF) structure is used to process the formulated TDOA and selected AOA measurements for mobile positioning and tracking. The simulation results show that the proposed hybrid scheme can effectively respond to the NLOS/LOS changes in the UWB environment, and improve the position accuracy.

Original languageEnglish
Title of host publication2006 IEEE 63rd Vehicular Technology Conference, VTC 2006-Spring - Proceedings
Pages1058-1062
Number of pages5
StatePublished - 2006
Externally publishedYes
Event2006 IEEE 63rd Vehicular Technology Conference, VTC 2006-Spring - Melbourne, Australia
Duration: 07 05 200610 07 2006

Publication series

NameIEEE Vehicular Technology Conference
Volume3
ISSN (Print)1550-2252

Conference

Conference2006 IEEE 63rd Vehicular Technology Conference, VTC 2006-Spring
Country/TerritoryAustralia
CityMelbourne
Period07/05/0610/07/06

Keywords

  • AOA
  • Extended kalman filter
  • Indoor positioning
  • NLOS error
  • TDOA
  • UWB

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