research-article

Calibrating Time-variant, Device-specific Phase Noise for COTS WiFi Devices

Authors:

Shivakant Mishra,

Sangtae HaAuthors Info & Claims

SenSys '17: Proceedings of the 15th ACM Conference on Embedded Network Sensor Systems

Article No.: 15, Pages 1 - 12

https://doi.org/10.1145/3131672.3131695

Published: 06 November 2017 Publication History

Abstract

Current COTS WiFi based work on wireless motion sensing extracts human movements such as keystroking and hand motion mainly from amplitude training to classify different types of motions, as obtaining meaningful phase values is very challenging due to time-varying phase noises occurred with the movement. However, the methods based only on amplitude training are not very practical since their accuracy is not environment and location independent. This paper proposes an effective phase noise calibration technique which can be broadly applicable to COTS WiFi based motion sensing. We leverage the fact that multi-path for indoor environment contains certain static paths, such as reflections from wall or static furniture, as well as dynamic paths due to human hand and arm movements. When a hand moves, the phase value of the signal from the hand rotates as the path length changes and causes the superposition of signals over static and dynamic paths in antenna and frequency domain. To evaluate the effectiveness of the proposed technique, we experiment with a prototype system that can track hand gestures in a non-intrusive manner, i.e. users are not equipped with any device, using COTS WiFi devices. Our evaluation shows that calibrated phase values provide much rich, yet robust information on motion tracking -- 80th percentile angle estimation error up to 14 degrees, 80th percentile tracking error up to 15 cm, and its robustness to the environment and the speed of movement.

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Cited By

Kumrai TCai ZMaekawa THara TOhara KMurakami TAbeysekera H(2024)AoA-net: Estimating Angle-of-arrival Using Wi-Fi Channel State Information Based on Deep Neural Networks with Subcarrier SelectionJournal of Information Processing10.2197/ipsjjip.32.86332(863-872)Online publication date: 2024
https://doi.org/10.2197/ipsjjip.32.863
Zhang XFu XTeng DDong CVijayakumar KZhang JChowdhury RHan JHong DKulkarni RShang JGupta REskicioglu RHuang PPatwari N(2023)Physics-Informed Data Denoising for Real-Life Sensing SystemsProceedings of the 21st ACM Conference on Embedded Networked Sensor Systems10.1145/3625687.3625811(83-96)Online publication date: 12-Nov-2023
https://dl.acm.org/doi/10.1145/3625687.3625811
Chen CZhou GLin Y(2023)Cross-Domain WiFi Sensing with Channel State Information: A SurveyACM Computing Surveys10.1145/357032555:11(1-37)Online publication date: 9-Feb-2023
https://dl.acm.org/doi/10.1145/3570325
Show More Cited By

Index Terms

Calibrating Time-variant, Device-specific Phase Noise for COTS WiFi Devices
1. Hardware
  1. Communication hardware, interfaces and storage

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cover image ACM Conferences

SenSys '17: Proceedings of the 15th ACM Conference on Embedded Network Sensor Systems

November 2017

490 pages

ISBN:9781450354592

DOI:10.1145/3131672

Editor:
Rasit Eskicioglu
University of Manitoba, Canada

Copyright © 2017 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 06 November 2017

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SenSys '17: The 15th ACM Conference on Embedded Network Sensor Systems

November 6 - 8, 2017

Delft, Netherlands

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Overall Acceptance Rate 174 of 867 submissions, 20%

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Cited By

Kumrai TCai ZMaekawa THara TOhara KMurakami TAbeysekera H(2024)AoA-net: Estimating Angle-of-arrival Using Wi-Fi Channel State Information Based on Deep Neural Networks with Subcarrier SelectionJournal of Information Processing10.2197/ipsjjip.32.86332(863-872)Online publication date: 2024
https://doi.org/10.2197/ipsjjip.32.863
Zhang XFu XTeng DDong CVijayakumar KZhang JChowdhury RHan JHong DKulkarni RShang JGupta REskicioglu RHuang PPatwari N(2023)Physics-Informed Data Denoising for Real-Life Sensing SystemsProceedings of the 21st ACM Conference on Embedded Networked Sensor Systems10.1145/3625687.3625811(83-96)Online publication date: 12-Nov-2023
https://dl.acm.org/doi/10.1145/3625687.3625811
Chen CZhou GLin Y(2023)Cross-Domain WiFi Sensing with Channel State Information: A SurveyACM Computing Surveys10.1145/357032555:11(1-37)Online publication date: 9-Feb-2023
https://dl.acm.org/doi/10.1145/3570325
Wu DZeng YGao RLi SLi YShah RLu HZhang D(2023)WiTraj: Robust Indoor Motion Tracking With WiFi SignalsIEEE Transactions on Mobile Computing10.1109/TMC.2021.313311422:5(3062-3078)Online publication date: 1-May-2023
https://doi.org/10.1109/TMC.2021.3133114
Ishmael KPan YLandika DZheng YLubecke VBoric-Lubecke O(2023)Physiological Motion Sensing via Channel State Information in NextG Millimeter-Wave Communications SystemsIEEE Journal of Microwaves10.1109/JMW.2022.32243753:1(227-236)Online publication date: Jan-2023
https://doi.org/10.1109/JMW.2022.3224375
Li YWu DZhang JXu XXie YGu TZhang D(2022)DiverSenseProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35363936:2(1-28)Online publication date: 7-Jul-2022
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Tian CTian YWang XKho YZhong ZLi WXiao B(2022)Human Activity Recognition With Commercial WiFi SignalsIEEE Access10.1109/ACCESS.2022.322343710(121580-121589)Online publication date: 2022
https://doi.org/10.1109/ACCESS.2022.3223437
Zeng YLiu JXiong JLiu ZWu DZhang D(2021)Exploring Multiple Antennas for Long-range WiFi SensingProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/34949795:4(1-30)Online publication date: 30-Dec-2021
https://dl.acm.org/doi/10.1145/3494979
Lin YDong WLi BGao Y(2020)TinyCSI: A Rapid Development Framework for CSI-based Sensing Applications2020 IEEE 17th International Conference on Mobile Ad Hoc and Sensor Systems (MASS)10.1109/MASS50613.2020.00073(549-557)Online publication date: Dec-2020
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Zeng YWu DXiong JYi EGao RZhang D(2019)FarSenseProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/33512793:3(1-26)Online publication date: 9-Sep-2019
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