Abstract
With the development of wireless communication technology, indoor tracking technology has been rapidly developed. Wits presents a new indoor positioning and tracking algorithm with channel state information of Wi-Fi signals. Wits tracks using motion speed. Firstly, it eliminates static path interference and calibrates the phase information. Then, the maximum likelihood of the phase is used to estimate the radial Doppler velocity of the target. Experiments were conducted, and two sets of receiving antennas were used to determine the velocity of a human. Finally, speed and time intervals were used to track the target. Experimental results show that Wits can achieve the mean error of 0.235 m in two different environments with a known starting point. If the starting point is unknown, the mean error is 0.410 m. Wits has good accuracy and efficiency for practical applications.
Highlights
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The maximum likelihood estimation algorithm is used to estimate the radial velocity of each link
A new indoor tracking algorithm based on channel state information
Summary
Citation: Tian, L.-P.; Chen, L.-Q.; Xu, Z.-M.; Chen, Z. Wits: An EfficientWi-Fi Based Indoor Positioning and Tracking System. Remote Sens. 2022, 14, 19. https://doi.org/10.3390/ rs14010019Academic Editor: Józef LisowskiReceived: 25 November 2021Accepted: 16 December 2021Published: 22 December 2021Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.Licensee MDPI, Basel, Switzerland.Attribution (CC BY) license (https://creativecommons.org/licenses/by/
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