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 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.
School of Electronic Information, Wuhan University, 430072 Wuhan, China. leiqian_0521@whu.edu.cn.
Qian
Q
Lei
School of Electronic Information, Wuhan University, 430072 Wuhan, China. haijian.zhang@whu.edu.cn.
Haijian
H
Zhang
School of Electronic Information, Wuhan University, 430072 Wuhan, China. hongsun@whu.edu.cn.
Hong
H
Sun
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, 430079 Wuhan, China. tanglinling@whu.edu.cn.
Linling
L
Tang
device-free localization; elliptical model; orthogonal matching pursuit; radio tomographic imaging; wireless sensor networks