Presentation 2013-07-18
An improved NLOS detection scheme in indoor Hybrid-TOA/AOA-based localization(Poster Presentation)
Manato HORIBA, Eiji OKAMOTO, Toshiko SHINOHARA, Katsuhiko MATSUMURA,
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Abstract(in English) Location based services in which location information of persons or things in sensor networks is collected and utilized enable a variety of new services. For such location information, time of arrival (TOA) or angle of arrival (AOA) of radio waves is often used. Moreover, a hybrid use of them, called hybrid-TOA/AOA (HTA), has also been proposed for performance improvement. However, when the direct wave is blocked by obstacles in the non-line-of-sight (NLOS) environment, the estimation accuracy is severely deteriorated. To coordinate this problem, an iterative minimum residual (IMR) scheme has been proposed for TOA-based estimation. In the IMR scheme, the NLOS nodes are sequentially detected and eliminated, and the estimation performance is improved. However, the IMR scheme for HTA measurements has not been considered. Therefore, in this paper, we propose a new NLOS detection scheme based on IMR scheme for HTA localization and evaluate its improved performances by computer simulations.
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Keyword(in English) sensor network / TOA position estimation / AOA position estimation / NLOS environment / iterative minimum residual scheme
Paper # NS2013-42,RCS2013-93,SR2013-30,ASN2013-60
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Committee NS
Conference Date 2013/7/11(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) An improved NLOS detection scheme in indoor Hybrid-TOA/AOA-based localization(Poster Presentation)
Sub Title (in English)
Keyword(1) sensor network
Keyword(2) TOA position estimation
Keyword(3) AOA position estimation
Keyword(4) NLOS environment
Keyword(5) iterative minimum residual scheme
1st Author's Name Manato HORIBA
1st Author's Affiliation Department of Computer Science and Engineering, Graduate School Engineering, Nagoya Institute of Technology()
2nd Author's Name Eiji OKAMOTO
2nd Author's Affiliation Department of Computer Science and Engineering, Graduate School Engineering, Nagoya Institute of Technology
3rd Author's Name Toshiko SHINOHARA
3rd Author's Affiliation Daifuku Co., Ltd.
4th Author's Name Katsuhiko MATSUMURA
4th Author's Affiliation Daifuku Co., Ltd.
Date 2013-07-18
Paper # NS2013-42,RCS2013-93,SR2013-30,ASN2013-60
Volume (vol) vol.113
Number (no) 129
Page pp.pp.-
#Pages 6
Date of Issue