Location Discovery Based on Fuzzy Geometry in Passive Sensor Networks

Location discovery with uncertainty using passive sensor networks in the nation's power grid is known to be challenging, due to the massive scale and inherent complexity. For bearings-only target localization in passive sensor networks, the approach of fuzzy geometry is introduced to investigat...

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Main Authors: Rui Wang, Wenming Cao, Wanggen Wan
Format: Article
Language:English
Published: Wiley 2011-01-01
Series:International Journal of Digital Multimedia Broadcasting
Online Access:http://dx.doi.org/10.1155/2011/851951
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author Rui Wang
Wenming Cao
Wanggen Wan
author_facet Rui Wang
Wenming Cao
Wanggen Wan
author_sort Rui Wang
collection DOAJ
description Location discovery with uncertainty using passive sensor networks in the nation's power grid is known to be challenging, due to the massive scale and inherent complexity. For bearings-only target localization in passive sensor networks, the approach of fuzzy geometry is introduced to investigate the fuzzy measurability for a moving target in R2 space. The fuzzy analytical bias expressions and the geometrical constraints are derived for bearings-only target localization. The interplay between fuzzy geometry of target localization and the fuzzy estimation bias for the case of fuzzy linear observer trajectory is analyzed in detail in sensor networks, which can realize the 3-dimensional localization including fuzzy estimate position and velocity of the target by measuring the fuzzy azimuth angles at intervals of fixed time. Simulation results show that the resulting estimate position outperforms the traditional least squares approach for localization with uncertainty.
format Article
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institution Kabale University
issn 1687-7578
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language English
publishDate 2011-01-01
publisher Wiley
record_format Article
series International Journal of Digital Multimedia Broadcasting
spelling doaj-art-8173d97371d149559e8a766532fdb6172025-08-20T03:35:07ZengWileyInternational Journal of Digital Multimedia Broadcasting1687-75781687-75862011-01-01201110.1155/2011/851951851951Location Discovery Based on Fuzzy Geometry in Passive Sensor NetworksRui Wang0Wenming Cao1Wanggen Wan2School of Communication and Information Engineering, Shanghai University, Shanghai 200072, ChinaSchool of Information Engineering, Shenzhen University, Shenzhen 518060, ChinaSchool of Communication and Information Engineering, Shanghai University, Shanghai 200072, ChinaLocation discovery with uncertainty using passive sensor networks in the nation's power grid is known to be challenging, due to the massive scale and inherent complexity. For bearings-only target localization in passive sensor networks, the approach of fuzzy geometry is introduced to investigate the fuzzy measurability for a moving target in R2 space. The fuzzy analytical bias expressions and the geometrical constraints are derived for bearings-only target localization. The interplay between fuzzy geometry of target localization and the fuzzy estimation bias for the case of fuzzy linear observer trajectory is analyzed in detail in sensor networks, which can realize the 3-dimensional localization including fuzzy estimate position and velocity of the target by measuring the fuzzy azimuth angles at intervals of fixed time. Simulation results show that the resulting estimate position outperforms the traditional least squares approach for localization with uncertainty.http://dx.doi.org/10.1155/2011/851951
spellingShingle Rui Wang
Wenming Cao
Wanggen Wan
Location Discovery Based on Fuzzy Geometry in Passive Sensor Networks
International Journal of Digital Multimedia Broadcasting
title Location Discovery Based on Fuzzy Geometry in Passive Sensor Networks
title_full Location Discovery Based on Fuzzy Geometry in Passive Sensor Networks
title_fullStr Location Discovery Based on Fuzzy Geometry in Passive Sensor Networks
title_full_unstemmed Location Discovery Based on Fuzzy Geometry in Passive Sensor Networks
title_short Location Discovery Based on Fuzzy Geometry in Passive Sensor Networks
title_sort location discovery based on fuzzy geometry in passive sensor networks
url http://dx.doi.org/10.1155/2011/851951
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AT wenmingcao locationdiscoverybasedonfuzzygeometryinpassivesensornetworks
AT wanggenwan locationdiscoverybasedonfuzzygeometryinpassivesensornetworks