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Wi-Fi Fine Time Measurement: Data Analysis and Processing for Indoor Localisation

Published online by Cambridge University Press:  04 May 2020

Yue Yu Open the ORCID record for Yue Yu [Opens in a new window] ,
Ruizhi Chen ,
Zuoya Liu ,
Guangyi Guo ,
Feng Ye  and
Liang Chen
Yue Yu
Affiliation:
(State Key Laboratory of Information Engineering in Survey, Mapping and Remote Sensing, Wuhan University, 470002Wuhan, China)
Ruizhi Chen*
Affiliation:
(State Key Laboratory of Information Engineering in Survey, Mapping and Remote Sensing, Wuhan University, 470002Wuhan, China)
Zuoya Liu
Affiliation:
(State Key Laboratory of Information Engineering in Survey, Mapping and Remote Sensing, Wuhan University, 470002Wuhan, China)
Guangyi Guo
Affiliation:
(State Key Laboratory of Information Engineering in Survey, Mapping and Remote Sensing, Wuhan University, 470002Wuhan, China)
Feng Ye
Affiliation:
(State Key Laboratory of Information Engineering in Survey, Mapping and Remote Sensing, Wuhan University, 470002Wuhan, China)
Liang Chen
Affiliation:
(State Key Laboratory of Information Engineering in Survey, Mapping and Remote Sensing, Wuhan University, 470002Wuhan, China)
*
(E-mail: ruizhi.chen@whu.edu.cn)
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Abstract

Indoor positioning systems have received increasing attention for supporting location-based services in indoor environments. Wi-Fi based indoor localisation has become attractive due to its extensive distribution and low cost properties. IEEE 802.11-2016 now includes a Wi-Fi Fine Time Measurement (FTM) protocol which can be used for Wi-Fi ranging between intelligent terminal and Wi-Fi access point. This paper introduces a framework of Wi-Fi FTM data acquisition and processing that can be used for indoor localisation. We analyse the main factors that affect the accuracy of Wi-Fi ranging and propose a calibration, filtering and modelling algorithm that can effectively reduce the ranging error caused by clock deviation, non-line-of-sight (NLOS) and multipath propagation. Experimental results show that the proposed calibration and filtering method is able to achieve metre-level ranging accuracy in case of line-of-sight by using large bandwidth. Estimation results also show that the proposed Wi-Fi ranging model provides an accurate ranging performance in NLOS and multipath contained indoor environment; the final positioning error is less than 2·2 m with a stable output frequency of 3 Hz.

Keywords

Indoor PositioningWi-Fi Fine Time MeasurementData Acquisition and Processing

Information

Type
Research Article
Information
The Journal of Navigation , Volume 73 , Issue 5 , September 2020 , pp. 1106 - 1128
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Copyright
Copyright © The Royal Institute of Navigation 2020

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