IEICE TRANSACTIONS on Communications
An Accurate Indoor-Localization Scheme with NLOS Detection and Elimination Exploiting Stochastic Characteristics
Summary :
In indoor localization using sensor networks, performance improvements are required for non-line-of-sight (NLOS) environments in which the estimation error is high. NLOS mitigation schemes involve the detection and elimination of the NLOS measurements. The iterative minimum residual (IMR) scheme, which is often applied to the localization scheme using the time of arrival (TOA), is commonly employed for this purpose. The IMR scheme is a low-complexity scheme and its NLOS detection performance is relatively high. However, when there are many NLOS nodes in a sensor field, the NLOS detection error of the IMR scheme increases and the estimation accuracy deteriorates. Therefore, we propose a new scheme that exploits coarse NLOS detection based on stochastic characteristics prior to the application of the IMR scheme to improve the localization accuracy. Improved performances were confirmed in two NLOS channel models by performing numerical simulations.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E98-B No.9 pp.1758-1767
- Publication Date
- 2015/09/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.E98.B.1758
- Type of Manuscript
- Special Section PAPER (Special Section on Emerging Technologies on Ambient Sensor Networks toward Future Generation)
- Category
Authors
Manato HORIBA
the Nagoya Institute of Technology
Eiji OKAMOTO
the Nagoya Institute of Technology
Toshiko SHINOHARA
Daifuku Co., Ltd.
Katsuhiko MATSUMURA
Daifuku Co., Ltd.
Keyword
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Manato HORIBA, Eiji OKAMOTO, Toshiko SHINOHARA, Katsuhiko MATSUMURA, "An Accurate Indoor-Localization Scheme with NLOS Detection and Elimination Exploiting Stochastic Characteristics" in IEICE TRANSACTIONS on Communications,
vol. E98-B, no. 9, pp. 1758-1767, September 2015, doi: 10.1587/transcom.E98.B.1758.
Abstract: In indoor localization using sensor networks, performance improvements are required for non-line-of-sight (NLOS) environments in which the estimation error is high. NLOS mitigation schemes involve the detection and elimination of the NLOS measurements. The iterative minimum residual (IMR) scheme, which is often applied to the localization scheme using the time of arrival (TOA), is commonly employed for this purpose. The IMR scheme is a low-complexity scheme and its NLOS detection performance is relatively high. However, when there are many NLOS nodes in a sensor field, the NLOS detection error of the IMR scheme increases and the estimation accuracy deteriorates. Therefore, we propose a new scheme that exploits coarse NLOS detection based on stochastic characteristics prior to the application of the IMR scheme to improve the localization accuracy. Improved performances were confirmed in two NLOS channel models by performing numerical simulations.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E98.B.1758/_p
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@ARTICLE{e98-b_9_1758,
author={Manato HORIBA, Eiji OKAMOTO, Toshiko SHINOHARA, Katsuhiko MATSUMURA, },
journal={IEICE TRANSACTIONS on Communications},
title={An Accurate Indoor-Localization Scheme with NLOS Detection and Elimination Exploiting Stochastic Characteristics},
year={2015},
volume={E98-B},
number={9},
pages={1758-1767},
abstract={In indoor localization using sensor networks, performance improvements are required for non-line-of-sight (NLOS) environments in which the estimation error is high. NLOS mitigation schemes involve the detection and elimination of the NLOS measurements. The iterative minimum residual (IMR) scheme, which is often applied to the localization scheme using the time of arrival (TOA), is commonly employed for this purpose. The IMR scheme is a low-complexity scheme and its NLOS detection performance is relatively high. However, when there are many NLOS nodes in a sensor field, the NLOS detection error of the IMR scheme increases and the estimation accuracy deteriorates. Therefore, we propose a new scheme that exploits coarse NLOS detection based on stochastic characteristics prior to the application of the IMR scheme to improve the localization accuracy. Improved performances were confirmed in two NLOS channel models by performing numerical simulations.},
keywords={},
doi={10.1587/transcom.E98.B.1758},
ISSN={1745-1345},
month={September},}
Copy
TY - JOUR
TI - An Accurate Indoor-Localization Scheme with NLOS Detection and Elimination Exploiting Stochastic Characteristics
T2 - IEICE TRANSACTIONS on Communications
SP - 1758
EP - 1767
AU - Manato HORIBA
AU - Eiji OKAMOTO
AU - Toshiko SHINOHARA
AU - Katsuhiko MATSUMURA
PY - 2015
DO - 10.1587/transcom.E98.B.1758
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E98-B
IS - 9
JA - IEICE TRANSACTIONS on Communications
Y1 - September 2015
AB - In indoor localization using sensor networks, performance improvements are required for non-line-of-sight (NLOS) environments in which the estimation error is high. NLOS mitigation schemes involve the detection and elimination of the NLOS measurements. The iterative minimum residual (IMR) scheme, which is often applied to the localization scheme using the time of arrival (TOA), is commonly employed for this purpose. The IMR scheme is a low-complexity scheme and its NLOS detection performance is relatively high. However, when there are many NLOS nodes in a sensor field, the NLOS detection error of the IMR scheme increases and the estimation accuracy deteriorates. Therefore, we propose a new scheme that exploits coarse NLOS detection based on stochastic characteristics prior to the application of the IMR scheme to improve the localization accuracy. Improved performances were confirmed in two NLOS channel models by performing numerical simulations.
ER -
English
