A New Elliptical Model for Device-Free Localization
Device-free localization (DFL) based on wireless sensor networks (WSNs) is expected to detect and locate a person without the need for any wireless devices. Radio tomographic imaging (RTI) has attracted wide attention from researchers as an emerging important technology in WSNs. However, there is mu...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2016-04-01
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| Series: | Sensors |
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| Online Access: | http://www.mdpi.com/1424-8220/16/4/577 |
| _version_ | 1798005783670030336 |
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| author | Qian Lei Haijian Zhang Hong Sun Linling Tang |
| author_facet | Qian Lei Haijian Zhang Hong Sun Linling Tang |
| author_sort | Qian Lei |
| collection | DOAJ |
| description | Device-free localization (DFL) based on wireless sensor networks (WSNs) is expected to detect and locate a person without the need for any wireless devices. Radio tomographic imaging (RTI) has attracted wide attention from researchers as an emerging important technology in WSNs. However, there is much room for improvement in localization estimation accuracy. In this paper, we propose a geometry-based elliptical model and adopt the orthogonal matching pursuit (OMP) algorithm. The new elliptical model uses not only line-of-sight information, but also non-line-of-sight information, which divides one ellipse into several areas with different weights. Meanwhile the OMP, which can eliminate extra bright spots in image reconstruction, is used to derive an image estimator. The experimental results demonstrate that the proposed algorithm could improve the accuracy of positioning by up to 23.8% for one person and 33.3% for two persons over some state-of-the-art RTI methods. |
| first_indexed | 2024-04-11T12:44:39Z |
| format | Article |
| id | doaj.art-c15ef84c17a04dfd9176116c71ff9bad |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T12:44:39Z |
| publishDate | 2016-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-c15ef84c17a04dfd9176116c71ff9bad2022-12-22T04:23:24ZengMDPI AGSensors1424-82202016-04-0116457710.3390/s16040577s16040577A New Elliptical Model for Device-Free LocalizationQian Lei0Haijian Zhang1Hong Sun2Linling Tang3School of Electronic Information, Wuhan University, 430072 Wuhan, ChinaSchool of Electronic Information, Wuhan University, 430072 Wuhan, ChinaSchool of Electronic Information, Wuhan University, 430072 Wuhan, ChinaState Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, 430079 Wuhan, ChinaDevice-free localization (DFL) based on wireless sensor networks (WSNs) is expected to detect and locate a person without the need for any wireless devices. Radio tomographic imaging (RTI) has attracted wide attention from researchers as an emerging important technology in WSNs. However, there is much room for improvement in localization estimation accuracy. In this paper, we propose a geometry-based elliptical model and adopt the orthogonal matching pursuit (OMP) algorithm. The new elliptical model uses not only line-of-sight information, but also non-line-of-sight information, which divides one ellipse into several areas with different weights. Meanwhile the OMP, which can eliminate extra bright spots in image reconstruction, is used to derive an image estimator. The experimental results demonstrate that the proposed algorithm could improve the accuracy of positioning by up to 23.8% for one person and 33.3% for two persons over some state-of-the-art RTI methods.http://www.mdpi.com/1424-8220/16/4/577device-free localizationwireless sensor networksradio tomographic imagingelliptical modelorthogonal matching pursuit |
| spellingShingle | Qian Lei Haijian Zhang Hong Sun Linling Tang A New Elliptical Model for Device-Free Localization Sensors device-free localization wireless sensor networks radio tomographic imaging elliptical model orthogonal matching pursuit |
| title | A New Elliptical Model for Device-Free Localization |
| title_full | A New Elliptical Model for Device-Free Localization |
| title_fullStr | A New Elliptical Model for Device-Free Localization |
| title_full_unstemmed | A New Elliptical Model for Device-Free Localization |
| title_short | A New Elliptical Model for Device-Free Localization |
| title_sort | new elliptical model for device free localization |
| topic | device-free localization wireless sensor networks radio tomographic imaging elliptical model orthogonal matching pursuit |
| url | http://www.mdpi.com/1424-8220/16/4/577 |
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