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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Main Authors: Wendong Xiao, Biao Song
Format: Article
Language:English
Published: Hindawi Limited 2015-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2015/619894
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spelling 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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