Cargando…
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...
Autores principales: | , , , , , |
---|---|
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 |
_version_ | 1782350707016335360 |
---|---|
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. |
format | Online Article Text |
id | pubmed-4279522 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT chhadehibahaj localisationofanunknownnumberoflandminesusinganetworkofvapourdetectors AT abdallahfahed localisationofanunknownnumberoflandminesusinganetworkofvapourdetectors AT mougharbelimad localisationofanunknownnumberoflandminesusinganetworkofvapourdetectors AT gningamadou localisationofanunknownnumberoflandminesusinganetworkofvapourdetectors AT juliersimon localisationofanunknownnumberoflandminesusinganetworkofvapourdetectors AT mihaylovalyudmila localisationofanunknownnumberoflandminesusinganetworkofvapourdetectors |