Sequential Geometric Approach for Device-Free Localization with Outlier Link Rejection
Device-free localization (DFL) is an emerging technique for estimating the location of the target that does not attach any electronic equipment. Wireless devices are needed to perform as transmitters or receivers. The location of the target is estimated by detecting the changes of the received signa...
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Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2015/619894 |
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doaj-47a68ea491e24e098100432fa31315652020-11-24T22:25:53ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472015-01-01201510.1155/2015/619894619894Sequential Geometric Approach for Device-Free Localization with Outlier Link RejectionWendong Xiao0Biao Song1School of Automation & Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, ChinaSchool of Automation & Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, ChinaDevice-free localization (DFL) is an emerging technique for estimating the location of the target that does not attach any electronic equipment. Wireless devices are needed to perform as transmitters or receivers. The location of the target is estimated by detecting the changes of the received signal strength (RSS) measurements of the wireless links formed by wireless transmitters and receivers. Due to the uncertainty of the wireless channel, certain links may be polluted seriously, resulting in error detection. In this paper, we propose a novel sequential geometric approach with outlier link rejection (SGOLR) for DFL. It consists of three sequential strategies, including (1) affected link identification by differential RSS detection; (2) outlier link rejection via clustering algorithm by intersection of link (IoL) calculation from the affected links; and (3) density based IoL selection and target location estimation from the remained IoLs. Experimental results show that SGOLR is robust to the fluctuation of the wireless signals with superior localization accuracy compared with the existing Radio Tomographic Imaging (RTI) approach.http://dx.doi.org/10.1155/2015/619894 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Wendong Xiao Biao Song |
spellingShingle |
Wendong Xiao Biao Song Sequential Geometric Approach for Device-Free Localization with Outlier Link Rejection Mathematical Problems in Engineering |
author_facet |
Wendong Xiao Biao Song |
author_sort |
Wendong Xiao |
title |
Sequential Geometric Approach for Device-Free Localization with Outlier Link Rejection |
title_short |
Sequential Geometric Approach for Device-Free Localization with Outlier Link Rejection |
title_full |
Sequential Geometric Approach for Device-Free Localization with Outlier Link Rejection |
title_fullStr |
Sequential Geometric Approach for Device-Free Localization with Outlier Link Rejection |
title_full_unstemmed |
Sequential Geometric Approach for Device-Free Localization with Outlier Link Rejection |
title_sort |
sequential geometric approach for device-free localization with outlier link rejection |
publisher |
Hindawi Limited |
series |
Mathematical Problems in Engineering |
issn |
1024-123X 1563-5147 |
publishDate |
2015-01-01 |
description |
Device-free localization (DFL) is an emerging technique for estimating the location of the target that does not attach any electronic equipment. Wireless devices are needed to perform as transmitters or receivers. The location of the target is estimated by detecting the changes of the received signal strength (RSS) measurements of the wireless links formed by wireless transmitters and receivers. Due to the uncertainty of the wireless channel, certain links may be polluted seriously, resulting in error detection. In this paper, we propose a novel sequential geometric approach with outlier link rejection (SGOLR) for DFL. It consists of three sequential strategies, including (1) affected link identification by differential RSS detection; (2) outlier link rejection via clustering algorithm by intersection of link (IoL) calculation from the affected links; and (3) density based IoL selection and target location estimation from the remained IoLs. Experimental results show that SGOLR is robust to the fluctuation of the wireless signals with superior localization accuracy compared with the existing Radio Tomographic Imaging (RTI) approach. |
url |
http://dx.doi.org/10.1155/2015/619894 |
work_keys_str_mv |
AT wendongxiao sequentialgeometricapproachfordevicefreelocalizationwithoutlierlinkrejection AT biaosong sequentialgeometricapproachfordevicefreelocalizationwithoutlierlinkrejection |
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1725755817018261504 |