NDLI: NLOS identification and mitigation based on channel state information for indoor WiFi localisation

Content Provider	IET Digital Library
Author	Li, Xiaohui Cai, Xiong Hei, Yongqiang Yuan, Ruiyang
Abstract	Indoor localisation could benefit greatly from non-line-of-sight (NLOS) identification and mitigation, since the major challenge for WiFi indoor ranging-based localisation technologies is multipath and NLOS. NLOS identification and mitigation on commodity WiFi devices, however, are challenges due to limited bandwidth and coarse multipath resolution with mere MAC layer received signal strength index. In this study, the authors explore and exploit the finer-grained PHY layer channel state information (CSI) to identify and mitigate NLOS. Key to the authors’ approach is exploiting several statistical features of CSI, which are proved to be particularly effective. The approaches, NLOS identification support vector machine (NISVM) and related channel information regression model (RCIRM), based on machine learning are proposed to identify NLOS and mitigate NLOS error, respectively. Experiment results in various indoor scenarios with severe interferences demonstrated an overall NLOS identification rate of 94.12% with a false alarm rate of 5.88% and a better mitigation performance.
Starting Page	531
Ending Page	537
Page Count	7
ISSN	17518628
Volume Number	11
e-ISSN	17518636
Issue Number	Issue 4, Mar (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-com/11/4
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-com.2016.0562
Journal	IET Communications
Publisher Date	2017-03-09
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Access Protocols Channel State Information Coarse Multipath Resolution Computer Communication CSI Finer-grained PHY Layer Channel State Information Indoor Localisation Indoor WiFi Localisation Local Area Network MAC Layer Received Signal Strength Index NLOS Identification Non-line-of-sight Protocol Radio Link And Equipment WiFi Device WiFi Indoor Ranging Wireless Channel Wireless LAN
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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