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Localisation of an Unknown Number of Land Mines Using a Network of Vapour Detectors

We consider the problem of localising an unknown number of land mines using concentration information provided by a wireless sensor network. A number of vapour sensors/detectors, deployed in the region of interest, are able to detect the concentration of the explosive vapours, emanating from buried...

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Detalles Bibliográficos
Autores principales: Chhadé, Hiba Haj, Abdallah, Fahed, Mougharbel, Imad, Gning, Amadou, Julier, Simon, Mihaylova, Lyudmila
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4279522/
https://www.ncbi.nlm.nih.gov/pubmed/25384008
http://dx.doi.org/10.3390/s141121000
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author Chhadé, Hiba Haj
Abdallah, Fahed
Mougharbel, Imad
Gning, Amadou
Julier, Simon
Mihaylova, Lyudmila
author_facet Chhadé, Hiba Haj
Abdallah, Fahed
Mougharbel, Imad
Gning, Amadou
Julier, Simon
Mihaylova, Lyudmila
author_sort Chhadé, Hiba Haj
collection PubMed
description We consider the problem of localising an unknown number of land mines using concentration information provided by a wireless sensor network. A number of vapour sensors/detectors, deployed in the region of interest, are able to detect the concentration of the explosive vapours, emanating from buried land mines. The collected data is communicated to a fusion centre. Using a model for the transport of the explosive chemicals in the air, we determine the unknown number of sources using a Principal Component Analysis (PCA)-based technique. We also formulate the inverse problem of determining the positions and emission rates of the land mines using concentration measurements provided by the wireless sensor network. We present a solution for this problem based on a probabilistic Bayesian technique using a Markov chain Monte Carlo sampling scheme, and we compare it to the least squares optimisation approach. Experiments conducted on simulated data show the effectiveness of the proposed approach.
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spelling pubmed-42795222015-01-15 Localisation of an Unknown Number of Land Mines Using a Network of Vapour Detectors Chhadé, Hiba Haj Abdallah, Fahed Mougharbel, Imad Gning, Amadou Julier, Simon Mihaylova, Lyudmila Sensors (Basel) Article We consider the problem of localising an unknown number of land mines using concentration information provided by a wireless sensor network. A number of vapour sensors/detectors, deployed in the region of interest, are able to detect the concentration of the explosive vapours, emanating from buried land mines. The collected data is communicated to a fusion centre. Using a model for the transport of the explosive chemicals in the air, we determine the unknown number of sources using a Principal Component Analysis (PCA)-based technique. We also formulate the inverse problem of determining the positions and emission rates of the land mines using concentration measurements provided by the wireless sensor network. We present a solution for this problem based on a probabilistic Bayesian technique using a Markov chain Monte Carlo sampling scheme, and we compare it to the least squares optimisation approach. Experiments conducted on simulated data show the effectiveness of the proposed approach. MDPI 2014-11-06 /pmc/articles/PMC4279522/ /pubmed/25384008 http://dx.doi.org/10.3390/s141121000 Text en © 2014 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Chhadé, Hiba Haj
Abdallah, Fahed
Mougharbel, Imad
Gning, Amadou
Julier, Simon
Mihaylova, Lyudmila
Localisation of an Unknown Number of Land Mines Using a Network of Vapour Detectors
title Localisation of an Unknown Number of Land Mines Using a Network of Vapour Detectors
title_full Localisation of an Unknown Number of Land Mines Using a Network of Vapour Detectors
title_fullStr Localisation of an Unknown Number of Land Mines Using a Network of Vapour Detectors
title_full_unstemmed Localisation of an Unknown Number of Land Mines Using a Network of Vapour Detectors
title_short Localisation of an Unknown Number of Land Mines Using a Network of Vapour Detectors
title_sort localisation of an unknown number of land mines using a network of vapour detectors
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4279522/
https://www.ncbi.nlm.nih.gov/pubmed/25384008
http://dx.doi.org/10.3390/s141121000
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