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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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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