Presentation 2011-10-28
Performance Improvement of NLOS Detection Scheme in TOA-based Position Estimation with Sensor Networks
Kazutaka FUKUDA, Eiji OKAMOTO,
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Abstract(in English) The sensor network with many small terminals communicating each other can cooperatively collect wider and variety of information and is expected to provide advanced services. To serve such new applications, the position information of targets is essential and the exact localization techniques are necessary. Time of arrival (TOA) localization is one of the popular schemes because of its high estimation accuracy. In TOA scheme, the target node of unknown position sends a signal to the anchor nodes of known position, from the arrival time stamps of the received signal the distance between the target and the anchor nodes is derived, and then, the estimated position is obtained. However, a non-line-of-sight (NLOS) environment between the target and the anchor nodes causes a serious estimation error because the time is delayed more than its true one. Thus, the NLOS nodes should be detected and eliminated for estimation. As a well-known NLOS detection scheme, an iterative minimum residual (IMR) scheme which has low calculation complexity is used for detection. However, the detection error exists in IMR scheme due to the measurement error. Therefore, in this paper, we propose a new IMR-based NLOS detection scheme and show its performance improvement by computer simulations.
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Keyword(in English) Sensor Networks / TOA-based position estimation system / NLOS environment / IMR method
Paper # USN2011-55
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Committee USN
Conference Date 2011/10/19(1days)
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Registration To Ubiquitous and Sensor Networks(USN)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Performance Improvement of NLOS Detection Scheme in TOA-based Position Estimation with Sensor Networks
Sub Title (in English)
Keyword(1) Sensor Networks
Keyword(2) TOA-based position estimation system
Keyword(3) NLOS environment
Keyword(4) IMR method
1st Author's Name Kazutaka FUKUDA
1st Author's Affiliation Department of Computer Science and Engineering, Graduate School of Engineering, Nagoya Institute of Technology()
2nd Author's Name Eiji OKAMOTO
2nd Author's Affiliation Department of Computer Science and Engineering, Graduate School of Engineering, Nagoya Institute of Technology
Date 2011-10-28
Paper # USN2011-55
Volume (vol) vol.111
Number (no) 263
Page pp.pp.-
#Pages 6
Date of Issue