Wi-Fi Fine Time Measurement: Data Analysis and Processing for Indoor Localisation. (4th September 2020)

• Record Type: Journal Article
• Authors: Yu, Yue; Chen, Ruizhi; Liu, Zuoya; Guo, Guangyi; Ye, Feng; Chen, Liang
• Is Part Of: Journal of navigation. Volume 73:Number 5(2020)
• Page Start: 1106
• Page End: 1128
• Publication Date: 2020-09-04
• Subjects: Indoor Positioning, -- Wi-Fi Fine Time Measurement, -- Data Acquisition and Processing; Navigation -- Periodicals; 623.8905
• DOI: 10.1017/S0373463320000193
• Languages: English
• ISSNs: 0373-4633

Abstract

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.