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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Bibliographic Details
Main Authors: Rui Wang, Wenming Cao, Wanggen Wan
Format: Article
Language:English
Published: Hindawi Limited 2011-01-01
Series:International Journal of Digital Multimedia Broadcasting
Online Access:http://dx.doi.org/10.1155/2011/851951
Description
Summary: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.
ISSN:1687-7578
1687-7586