Leveraging TPDV to Direction Estimation With a Single Pair of Commodity Devices

In this paper, we propose an indoor passive human tracking system equipped with only one pair of commodity Wi-Fi devices, namely WiBlinker. The key insight is that the motion of moving target not only introduce Doppler frequency shift, but also changes the value of phase difference between two adjac...

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Main Authors: Jing Nan, Guo Wei, Yang Yuling, Wang Lin
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9051665/
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spelling doaj-d549d444439d48588cb2fdb51925cb472021-03-30T03:07:30ZengIEEEIEEE Access2169-35362020-01-018622486226010.1109/ACCESS.2020.29845099051665Leveraging TPDV to Direction Estimation With a Single Pair of Commodity DevicesJing Nan0https://orcid.org/0000-0002-5495-7794Guo Wei1Yang Yuling2Wang Lin3https://orcid.org/0000-0002-7691-4672School of Information Science and Engineering, Yanshan University, Qinhuangdao, ChinaSchool of Information Science and Engineering, Yanshan University, Qinhuangdao, ChinaSchool of Information Science and Engineering, Yanshan University, Qinhuangdao, ChinaSchool of Information Science and Engineering, Yanshan University, Qinhuangdao, ChinaIn this paper, we propose an indoor passive human tracking system equipped with only one pair of commodity Wi-Fi devices, namely WiBlinker. The key insight is that the motion of moving target not only introduce Doppler frequency shift, but also changes the value of phase difference between two adjacent antennas of the receiver. First of all, a light-weight interpolation scheme is presented to remove the random phase noise in channel state information for improving the accuracy of the trajectory tracing. Instead of using AoA to obtain the moving direction, WiBlinker employs the trend of phase difference variation in direction estimation which is no need multiple Wi-Fi devices and easier to be achieved. Experimental results show that WiBlinker outperforms the conventional multiple Wi-Fi links methods, especially in the case of a sharp turn.https://ieeexplore.ieee.org/document/9051665/Indoor human trackingcommodity devicesAngle-of-ArrivalDoppler frequency shiftchannel state information
collection DOAJ
language English
format Article
sources DOAJ
author Jing Nan
Guo Wei
Yang Yuling
Wang Lin
spellingShingle Jing Nan
Guo Wei
Yang Yuling
Wang Lin
Leveraging TPDV to Direction Estimation With a Single Pair of Commodity Devices
IEEE Access
Indoor human tracking
commodity devices
Angle-of-Arrival
Doppler frequency shift
channel state information
author_facet Jing Nan
Guo Wei
Yang Yuling
Wang Lin
author_sort Jing Nan
title Leveraging TPDV to Direction Estimation With a Single Pair of Commodity Devices
title_short Leveraging TPDV to Direction Estimation With a Single Pair of Commodity Devices
title_full Leveraging TPDV to Direction Estimation With a Single Pair of Commodity Devices
title_fullStr Leveraging TPDV to Direction Estimation With a Single Pair of Commodity Devices
title_full_unstemmed Leveraging TPDV to Direction Estimation With a Single Pair of Commodity Devices
title_sort leveraging tpdv to direction estimation with a single pair of commodity devices
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2020-01-01
description In this paper, we propose an indoor passive human tracking system equipped with only one pair of commodity Wi-Fi devices, namely WiBlinker. The key insight is that the motion of moving target not only introduce Doppler frequency shift, but also changes the value of phase difference between two adjacent antennas of the receiver. First of all, a light-weight interpolation scheme is presented to remove the random phase noise in channel state information for improving the accuracy of the trajectory tracing. Instead of using AoA to obtain the moving direction, WiBlinker employs the trend of phase difference variation in direction estimation which is no need multiple Wi-Fi devices and easier to be achieved. Experimental results show that WiBlinker outperforms the conventional multiple Wi-Fi links methods, especially in the case of a sharp turn.
topic Indoor human tracking
commodity devices
Angle-of-Arrival
Doppler frequency shift
channel state information
url https://ieeexplore.ieee.org/document/9051665/
work_keys_str_mv AT jingnan leveragingtpdvtodirectionestimationwithasinglepairofcommoditydevices
AT guowei leveragingtpdvtodirectionestimationwithasinglepairofcommoditydevices
AT yangyuling leveragingtpdvtodirectionestimationwithasinglepairofcommoditydevices
AT wanglin leveragingtpdvtodirectionestimationwithasinglepairofcommoditydevices
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