An Adaptive Likelihood Distribution Algorithm for the Localization of Passive RFID Tags
Summary :
The RFID (Radio Frequency IDentification) tag technology is expected as a tool of localization. By the localization of RFID tags, a mobile robot which installs in RFID readers can recognize surrounding environments. In addition, RFID tags can be applied to a navigation system for walkers. In this paper, we propose an adaptive likelihood distribution scheme for the localization of RFID tags. This method adjusts the likelihood distribution depending on the signal intensity from RFID tags. We carry out the performance evaluation of estimated position error by both computer simulations and implemental experiments. We show that the proposed system is more effective than the conventional system.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E91-A No.7 pp.1666-1675
- Publication Date
- 2008/07/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1093/ietfec/e91-a.7.1666
- Type of Manuscript
- Special Section PAPER (Special Section on Multi-dimensional Mobile Information Networks)
- Category
Authors
Keyword
Latest Issue
Copyrights notice of machine-translated contents
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Cite this
Copy
Yuuki OTA, Toshihiro HORI, Taiki ONISHI, Tomotaka WADA, Kouichi MUTSUURA, Hiromi OKADA, "An Adaptive Likelihood Distribution Algorithm for the Localization of Passive RFID Tags" in IEICE TRANSACTIONS on Fundamentals,
vol. E91-A, no. 7, pp. 1666-1675, July 2008, doi: 10.1093/ietfec/e91-a.7.1666.
Abstract: The RFID (Radio Frequency IDentification) tag technology is expected as a tool of localization. By the localization of RFID tags, a mobile robot which installs in RFID readers can recognize surrounding environments. In addition, RFID tags can be applied to a navigation system for walkers. In this paper, we propose an adaptive likelihood distribution scheme for the localization of RFID tags. This method adjusts the likelihood distribution depending on the signal intensity from RFID tags. We carry out the performance evaluation of estimated position error by both computer simulations and implemental experiments. We show that the proposed system is more effective than the conventional system.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e91-a.7.1666/_p
Copy
@ARTICLE{e91-a_7_1666,
author={Yuuki OTA, Toshihiro HORI, Taiki ONISHI, Tomotaka WADA, Kouichi MUTSUURA, Hiromi OKADA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={An Adaptive Likelihood Distribution Algorithm for the Localization of Passive RFID Tags},
year={2008},
volume={E91-A},
number={7},
pages={1666-1675},
abstract={The RFID (Radio Frequency IDentification) tag technology is expected as a tool of localization. By the localization of RFID tags, a mobile robot which installs in RFID readers can recognize surrounding environments. In addition, RFID tags can be applied to a navigation system for walkers. In this paper, we propose an adaptive likelihood distribution scheme for the localization of RFID tags. This method adjusts the likelihood distribution depending on the signal intensity from RFID tags. We carry out the performance evaluation of estimated position error by both computer simulations and implemental experiments. We show that the proposed system is more effective than the conventional system.},
keywords={},
doi={10.1093/ietfec/e91-a.7.1666},
ISSN={1745-1337},
month={July},}
Copy
TY - JOUR
TI - An Adaptive Likelihood Distribution Algorithm for the Localization of Passive RFID Tags
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1666
EP - 1675
AU - Yuuki OTA
AU - Toshihiro HORI
AU - Taiki ONISHI
AU - Tomotaka WADA
AU - Kouichi MUTSUURA
AU - Hiromi OKADA
PY - 2008
DO - 10.1093/ietfec/e91-a.7.1666
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E91-A
IS - 7
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - July 2008
AB - The RFID (Radio Frequency IDentification) tag technology is expected as a tool of localization. By the localization of RFID tags, a mobile robot which installs in RFID readers can recognize surrounding environments. In addition, RFID tags can be applied to a navigation system for walkers. In this paper, we propose an adaptive likelihood distribution scheme for the localization of RFID tags. This method adjusts the likelihood distribution depending on the signal intensity from RFID tags. We carry out the performance evaluation of estimated position error by both computer simulations and implemental experiments. We show that the proposed system is more effective than the conventional system.
ER -
English
