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Sensors 2015, 15(4), 8072-8087; doi:10.3390/s150408072

Nonlinear Optimization-Based Device-Free Localization with Outlier Link Rejection

School of Automation & Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China
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Author to whom correspondence should be addressed.
Academic Editor: Antonio Puliafito
Received: 5 February 2015 / Revised: 18 March 2015 / Accepted: 25 March 2015 / Published: 7 April 2015
(This article belongs to the Special Issue Sensors and Smart Cities)
View Full-Text   |   Download PDF [1391 KB, uploaded 7 April 2015]   |  

Abstract

Device-free localization (DFL) is an emerging wireless technique for estimating the location of target that does not have any attached electronic device. It has found extensive use in Smart City applications such as healthcare at home and hospitals, location-based services at smart spaces, city emergency response and infrastructure security. In DFL, wireless devices are used as sensors that can sense the target by transmitting and receiving wireless signals collaboratively. Many DFL systems are implemented based on received signal strength (RSS) measurements and the location of the target is estimated by detecting the changes of the RSS measurements of the wireless links. Due to the uncertainty of the wireless channel, certain links may be seriously polluted and result in erroneous detection. In this paper, we propose a novel nonlinear optimization approach with outlier link rejection (NOOLR) for RSS-based DFL. It consists of three key strategies, including: (1) affected link identification by differential RSS detection; (2) outlier link rejection via geometrical positional relationship among links; (3) target location estimation by formulating and solving a nonlinear optimization problem. Experimental results demonstrate that NOOLR is robust to the fluctuation of the wireless signals with superior localization accuracy compared with the existing Radio Tomographic Imaging (RTI) approach. View Full-Text
Keywords: device-free localization (DFL); outlier link rejection; nonlinear optimization; clustering centriod device-free localization (DFL); outlier link rejection; nonlinear optimization; clustering centriod
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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).

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Xiao, W.; Song, B.; Yu, X.; Chen, P. Nonlinear Optimization-Based Device-Free Localization with Outlier Link Rejection. Sensors 2015, 15, 8072-8087.

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