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LiFS: Low Human Effort, Device-Free Localization with Fine-Grained Subcarrier Information

Wang, J; Jiang, H; Xiong, J; Jamieson, K; Chen, X; Fang, D; Xie, B; (2016) LiFS: Low Human Effort, Device-Free Localization with Fine-Grained Subcarrier Information. In: Proceedings of the 22nd Annual International Conference on Mobile Computing and Networking. (pp. pp. 243-256). ACM: New York, NY, USA. Green open access

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Abstract

Device-free localization of people and objects indoors not equipped with radios is playing a critical role in many emerging applications. This paper presents an accurate model-based device-free localization system LiFS, implemented on cheap commercial off-the-shelf (COTS) Wi-Fi devices. Unlike previous COTS device-based work, LiFS is able to localize a target accurately without offline training. The basic idea is simple: channel state information (CSI) is sensitive to a target's location and by modelling the CSI measurements of multiple wireless links as a set of power fading based equations, the target location can be determined. However, due to rich multipath propagation indoors, the received signal strength (RSS) or even the fine-grained CSI can not be easily modelled. We observe that even in a rich multipath environment, not all subcarriers are affected equally by multipath reflections. Our pre-processing scheme tries to identify the subcarriers not affected by multipath. Thus, CSIs on the "clean" subcarriers can be utilized for accurate localization. We design, implement and evaluate LiFS with extensive experiments in three different environments. Without knowing the majority transceivers' locations, LiFS achieves a median accuracy of 0.5 m and 1.1 m in line-of-sight (LoS) and non-line-of-sight (NLoS) scenarios respectively, outperforming the state-of-the-art systems. Besides single target localization, LiFS is able to differentiate two sparsely-located targets and localize each of them at a high accuracy.

Type: Proceedings paper
Title: LiFS: Low Human Effort, Device-Free Localization with Fine-Grained Subcarrier Information
Event: MobiCom
Location: New York, NY
Dates: 03 October 2016 - 07 October 2016
ISBN-13: 978-1-4503-4226-1
Open access status: An open access version is available from UCL Discovery
DOI: 10.1145/2973750.2973776
Publisher version: http://dx.doi.org/10.1145/2973750.2973776
Language: English
Additional information: © ACM, 2016. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Proceedings of the 22nd Annual International Conference on Mobile Computing and Networking (2016) https://doi.org/10.1145/2973750.2973776
Keywords: Networks; Network types; Mobile networks; Wireless access networks;
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery-pp.ucl.ac.uk/id/eprint/1527423
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