TDOA/AOA based RFID indoor geolocation using indirect Kalman filter

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

Abstract

To estimate the position of RFID tag, Time Difference of Arrival (TDOA) has been used. However, a Non-Line-of-Sight (NLOS) situation can cause large error in indoor positioning system. We identify which receiver is in the LOS path and select Angle of Arrival (AOA) signal from the identified LOS receiver. The AOA signal combined with TDOA is used to compensate for the large error in NLOS situation. Also, we propose an indirect Kalman filter for the fusion of TDOA and AOA signals. To compensate for the environmental and NLOS error components which happen in TDOA and AOA measurements, the indirect Kalman filter estimates the error of position and it suppresses error components effectively. In this paper, the simulation results prove the performance of localization using the indirect Kalman filter.

Original languageEnglish
Title of host publicationProceedings of the 30th IASTED Conference on Modelling, Identification, and Control, AsiaMIC 2010
Pages363-367
Number of pages5
DOIs
StatePublished - 2010
Event30th IASTED Conference on Modelling, Identification, and Control, AsiaMIC 2010 - Phuket, Thailand
Duration: 24 Nov 201026 Nov 2010

Publication series

NameProceedings of the IASTED International Conference on Modelling, Identification and Control
ISSN (Print)1025-8973

Conference

Conference30th IASTED Conference on Modelling, Identification, and Control, AsiaMIC 2010
Country/TerritoryThailand
CityPhuket
Period24/11/1026/11/10

Keywords

  • Angle of arrival
  • Indirect Kalman filter
  • Indoor positioning
  • Non-Line-of-Sight
  • Time difference of arrival

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