Presentation 2007-07-20
Low Complexity TOA Localization Algorithm for NLOS Environments
Takahiro FUJITA, Tomoaki OHTSUKI, Toshinobu KANEKO,
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Abstract(in English) The location estimation in sensor networks is of great current interest. A general approach to location estimation is to gather Time-of-Arrival (TOA) measurements from a number of nodes and to estimate a target location. The two major sources of range measurement errors in geolocation techniques are measurement error and Non-Line-of-Sight (NLOS) error. NLOS errors caused by blocking of direct paths have been considered as a serious issue in the location estimation. Therefore, Iterative Minimum Residual (IMR) method, which identifies NLOS nodes and removes them from the data set used for localization, has been proposed. IMR improves location estimation precision in comparison with the technique that does not identify and remove NLOS nodes. However, IMR needs a lot of calculation to identify NLOS nodes. In this report, we propose a new location estimation method with low complexity NLOS node identification. We show that the proposed method achieves almost the same root mean square error (RMSE) as the conventional method with lower complexity.
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Keyword(in English) Wireless Sensor Networks / Time-of-Arrival (TOA) / Non-Line-of-Sight (NLOS) / Localization
Paper # USN2007-34
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Committee USN
Conference Date 2007/7/12(1days)
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Registration To Ubiquitous and Sensor Networks(USN)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Low Complexity TOA Localization Algorithm for NLOS Environments
Sub Title (in English)
Keyword(1) Wireless Sensor Networks
Keyword(2) Time-of-Arrival (TOA)
Keyword(3) Non-Line-of-Sight (NLOS)
Keyword(4) Localization
1st Author's Name Takahiro FUJITA
1st Author's Affiliation Graduate School of Science and Technology, Tokyo University of Science()
2nd Author's Name Tomoaki OHTSUKI
2nd Author's Affiliation Faculty School of Science and Technology, Keio University
3rd Author's Name Toshinobu KANEKO
3rd Author's Affiliation Graduate School of Science and Technology, Tokyo University of Science
Date 2007-07-20
Paper # USN2007-34
Volume (vol) vol.107
Number (no) 152
Page pp.pp.-
#Pages 6
Date of Issue