Next Article in Journal
Signal Analysis and Waveform Reconstruction of Shock Waves Generated by Underwater Electrical Wire Explosions with Piezoelectric Pressure Probes
Previous Article in Journal
Measuring Electrolyte Impedance and Noise Simultaneously by Triangular Waveform Voltage and Principal Component Analysis
Article Menu

Export Article

Open AccessArticle
Sensors 2016, 16(4), 577; doi:10.3390/s16040577

A New Elliptical Model for Device-Free Localization

1
School of Electronic Information, Wuhan University, 430072 Wuhan, China
2
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, 430079 Wuhan, China
*
Author to whom correspondence should be addressed.
Academic Editor: Leonhard M. Reindl
Received: 21 February 2016 / Revised: 9 April 2016 / Accepted: 17 April 2016 / Published: 22 April 2016
(This article belongs to the Section Sensor Networks)
View Full-Text   |   Download PDF [492 KB, uploaded 22 April 2016]   |  

Abstract

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. View Full-Text
Keywords: device-free localization; wireless sensor networks; radio tomographic imaging; elliptical model; orthogonal matching pursuit device-free localization; wireless sensor networks; radio tomographic imaging; elliptical model; orthogonal matching pursuit
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Lei, Q.; Zhang, H.; Sun, H.; Tang, L. A New Elliptical Model for Device-Free Localization. Sensors 2016, 16, 577.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top