MFDL: A multicarrier fresnel penetration model based device-free localization system leveraging commodity Wi-Fi cards

作     者：Wang, Hao Zhang, Daqing Niu, Kai Lv, Qin Liu, Yuanhuai Wu, Dan Gao, Ruiyang Xie, Bing 

作者机构：Key Laboratory of High Confidence Software Technologies Ministry of Education School of Electronics Engineering and Computer Science Peking University Academy for Advanced Interdisciplinary Studies Peking University Department of Computer Science University of Colorado Boulder 

出 版 物：《arXiv》 (arXiv)

年 卷 期：2017年

核心收录：

主　　题：Channel state information 

摘      要：Device-free localization plays an important role in many ubiquitous applications. Among the different technologies proposed, Wi-Fi based technology using commercial devices has attracted much attention due to its low cost, ease of deployment, and high potential for accurate localization. Existing solutions use either fingerprints that require labor-intensive radio-map survey and updates, or models constructed from empirical studies with dense deployment of Wi-Fi transceivers. In this work, we explore the Fresnel Zone Theory in physics and propose a generic Fresnel Penetration Model (FPM), which reveals the linear relationship between specific Fresnel zones and multicarrier Fresnel phase difference, along with the Fresnel phase offset caused by static multipath environments. We validate FPM in both outdoor and complex indoor environments. Furthermore, we design a multicarrier FPM based device-free localization system (MFDL), which overcomes a number of practical challenges, particularly the Fresnel phase difference estimation and phase offset calibration in multipath-rich indoor environments. Extensive experimental results show that compared with the state-of-the-art work (LiFS), our MFDL system achieves better localization accuracy with much fewer number of Wi-Fi transceivers. Specifically, using only three transceivers, the median localization error of MFDL is as low as 45cm in an outdoor environment of 36m2, and 55cm in indoor settings of 25m2. Increasing the number of transceivers to four allows us to achieve 75cm median localization error in a 72m2 indoor area, compared with the 1.1m median localization error achieved by LiFS using 11 transceivers in a 70m2 area. Copyright © 2017, The Authors. All rights reserved.