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Adaptive Environmental Source Localization and Tracking with Unknown Permittivity and Path Loss Coefficients †

Accurate signal-source and signal-reflector target localization tasks via mobile sensory units and wireless sensor networks (WSNs), including those for environmental monitoring via sensory UAVs, require precise knowledge of specific signal propagation properties of the environment, which are permitt...

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Detalles Bibliográficos
Autores principales: Fidan, Barış, Umay, Ilknur
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4721772/
https://www.ncbi.nlm.nih.gov/pubmed/26690441
http://dx.doi.org/10.3390/s151229852
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author Fidan, Barış
Umay, Ilknur
author_facet Fidan, Barış
Umay, Ilknur
author_sort Fidan, Barış
collection PubMed
description Accurate signal-source and signal-reflector target localization tasks via mobile sensory units and wireless sensor networks (WSNs), including those for environmental monitoring via sensory UAVs, require precise knowledge of specific signal propagation properties of the environment, which are permittivity and path loss coefficients for the electromagnetic signal case. Thus, accurate estimation of these coefficients has significant importance for the accuracy of location estimates. In this paper, we propose a geometric cooperative technique to instantaneously estimate such coefficients, with details provided for received signal strength (RSS) and time-of-flight (TOF)-based range sensors. The proposed technique is integrated to a recursive least squares (RLS)-based adaptive localization scheme and an adaptive motion control law, to construct adaptive target localization and adaptive target tracking algorithms, respectively, that are robust to uncertainties in aforementioned environmental signal propagation coefficients. The efficiency of the proposed adaptive localization and tracking techniques are both mathematically analysed and verified via simulation experiments.
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spelling pubmed-47217722016-01-26 Adaptive Environmental Source Localization and Tracking with Unknown Permittivity and Path Loss Coefficients † Fidan, Barış Umay, Ilknur Sensors (Basel) Article Accurate signal-source and signal-reflector target localization tasks via mobile sensory units and wireless sensor networks (WSNs), including those for environmental monitoring via sensory UAVs, require precise knowledge of specific signal propagation properties of the environment, which are permittivity and path loss coefficients for the electromagnetic signal case. Thus, accurate estimation of these coefficients has significant importance for the accuracy of location estimates. In this paper, we propose a geometric cooperative technique to instantaneously estimate such coefficients, with details provided for received signal strength (RSS) and time-of-flight (TOF)-based range sensors. The proposed technique is integrated to a recursive least squares (RLS)-based adaptive localization scheme and an adaptive motion control law, to construct adaptive target localization and adaptive target tracking algorithms, respectively, that are robust to uncertainties in aforementioned environmental signal propagation coefficients. The efficiency of the proposed adaptive localization and tracking techniques are both mathematically analysed and verified via simulation experiments. MDPI 2015-12-10 /pmc/articles/PMC4721772/ /pubmed/26690441 http://dx.doi.org/10.3390/s151229852 Text en © 2015 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons by Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Fidan, Barış
Umay, Ilknur
Adaptive Environmental Source Localization and Tracking with Unknown Permittivity and Path Loss Coefficients †
title Adaptive Environmental Source Localization and Tracking with Unknown Permittivity and Path Loss Coefficients †
title_full Adaptive Environmental Source Localization and Tracking with Unknown Permittivity and Path Loss Coefficients †
title_fullStr Adaptive Environmental Source Localization and Tracking with Unknown Permittivity and Path Loss Coefficients †
title_full_unstemmed Adaptive Environmental Source Localization and Tracking with Unknown Permittivity and Path Loss Coefficients †
title_short Adaptive Environmental Source Localization and Tracking with Unknown Permittivity and Path Loss Coefficients †
title_sort adaptive environmental source localization and tracking with unknown permittivity and path loss coefficients †
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4721772/
https://www.ncbi.nlm.nih.gov/pubmed/26690441
http://dx.doi.org/10.3390/s151229852
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