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Sensors 2018, 18(8), 2549;

Accurate Indoor Localization Based on CSI and Visibility Graph

College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China
School of Design, Zhejiang University of Technology, Hangzhou 310023, China
Author to whom correspondence should be addressed.
Received: 12 June 2018 / Revised: 29 July 2018 / Accepted: 29 July 2018 / Published: 3 August 2018
(This article belongs to the Collection Positioning and Navigation)
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Passive indoor localization techniques can have many important applications. They are nonintrusive and do not require users carrying measuring devices. Therefore, indoor localization techniques are widely used in many critical areas, such as security, logistics, healthcare, etc. However, because of the unpredictable indoor environment dynamics, the existing nonintrusive indoor localization techniques can be quite inaccurate, which greatly limits their real-world applications. To address those problems, in this work, we develop a channel state information (CSI) based indoor localization technique. Unlike the existing methods, we employ both the intra-subcarrier statistics features and the inter-subcarrier network features. Specifically, we make the following contributions: (1) we design a novel passive indoor localization algorithm which combines the statistics and network features; (2) we modify the visibility graph (VG) technique to build complex networks for the indoor localization applications; and (3) we demonstrate the effectiveness of our technique using real-world deployments. The experimental results show that our technique can achieve about 96% accuracy on average and is more than 9% better than the state-of-the-art techniques. View Full-Text
Keywords: indoor localization; CSI; visibility graph indoor localization; CSI; visibility graph

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Wu, Z.; Jiang, L.; Jiang, Z.; Chen, B.; Liu, K.; Xuan, Q.; Xiang, Y. Accurate Indoor Localization Based on CSI and Visibility Graph. Sensors 2018, 18, 2549.

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