Enabling phased array signal processing for mobile WiFi devices

Modern mobile devices are equipped with multiple antennas, which brings various wireless sensing applications such as accurate localization, contactless human detection, and wireless human-device interaction. A key enabler for these applications is phased array signal processing, especially Angle of...

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Main Authors: QIAN, Kun, WU, Chenshu, YANG, Zheng, ZHOU, Zimu, WANG, Xu, LIU, Yunhao
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Language:English
Published: Institutional Knowledge at Singapore Management University 2017
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Online Access:https://ink.library.smu.edu.sg/sis_research/4879
https://ink.library.smu.edu.sg/context/sis_research/article/5882/viewcontent/08122023.pdf
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spelling sg-smu-ink.sis_research-58822020-02-13T08:45:38Z Enabling phased array signal processing for mobile WiFi devices QIAN, Kun WU, Chenshu YANG, Zheng ZHOU, Zimu WANG, Xu LIU, Yunhao Modern mobile devices are equipped with multiple antennas, which brings various wireless sensing applications such as accurate localization, contactless human detection, and wireless human-device interaction. A key enabler for these applications is phased array signal processing, especially Angle of Arrival (AoA) estimation. However, accurate AoA estimation on commodity devices is non-trivial due to limited number of antennas and uncertain phase offsets. Previous works either rely on elaborate calibration or involve contrived human interactions. In this paper, we aim to enable practical AoA measurements on commodity off-the-shelf (COTS) mobile devices. The key insight is to involve users’ natural rotation to formulate a virtual spatial-temporal antenna array and conduce a relative incident signal of measurements at two orientations. Then by taking the differential phase, it is feasible to remove the phase offsets and derive the accurate AoA of the equivalent incoming signal, while the rotation angle can also be captured by built-in inertial sensors. On this basis, we propose Differential MUSIC (D-MUSIC), a relative form of the standard MUSIC algorithm that eliminates the unknown phase offsets and achieves accurate AoA estimation on COTS mobile devices with only one rotation. We further extend DMUSIC to 3-D space, integrate extra measurements during rotations for higher estimation accuracy, and fortify it in multipath-rich scenarios. We prototype D-MUSIC on commodity WiFi infrastructure and evaluate it in typical indoor environments. Experimental results demonstrate a superior performance with average AoA estimation errors of 13 with only three measurements and 5 with at most 10 measurements. Requiring no modifications or calibration, D-MUSIC is envisioned as a promising scheme for practical AoA estimation on COTS mobile devices 2017-11-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/4879 info:doi/10.1109/TMC.2017.2778155 https://ink.library.smu.edu.sg/context/sis_research/article/5882/viewcontent/08122023.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Channel state information angle of arrival phased array calibration Digital Communications and Networking Software Engineering
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Channel state information
angle of arrival
phased array calibration
Digital Communications and Networking
Software Engineering
spellingShingle Channel state information
angle of arrival
phased array calibration
Digital Communications and Networking
Software Engineering
QIAN, Kun
WU, Chenshu
YANG, Zheng
ZHOU, Zimu
WANG, Xu
LIU, Yunhao
Enabling phased array signal processing for mobile WiFi devices
description Modern mobile devices are equipped with multiple antennas, which brings various wireless sensing applications such as accurate localization, contactless human detection, and wireless human-device interaction. A key enabler for these applications is phased array signal processing, especially Angle of Arrival (AoA) estimation. However, accurate AoA estimation on commodity devices is non-trivial due to limited number of antennas and uncertain phase offsets. Previous works either rely on elaborate calibration or involve contrived human interactions. In this paper, we aim to enable practical AoA measurements on commodity off-the-shelf (COTS) mobile devices. The key insight is to involve users’ natural rotation to formulate a virtual spatial-temporal antenna array and conduce a relative incident signal of measurements at two orientations. Then by taking the differential phase, it is feasible to remove the phase offsets and derive the accurate AoA of the equivalent incoming signal, while the rotation angle can also be captured by built-in inertial sensors. On this basis, we propose Differential MUSIC (D-MUSIC), a relative form of the standard MUSIC algorithm that eliminates the unknown phase offsets and achieves accurate AoA estimation on COTS mobile devices with only one rotation. We further extend DMUSIC to 3-D space, integrate extra measurements during rotations for higher estimation accuracy, and fortify it in multipath-rich scenarios. We prototype D-MUSIC on commodity WiFi infrastructure and evaluate it in typical indoor environments. Experimental results demonstrate a superior performance with average AoA estimation errors of 13 with only three measurements and 5 with at most 10 measurements. Requiring no modifications or calibration, D-MUSIC is envisioned as a promising scheme for practical AoA estimation on COTS mobile devices
format text
author QIAN, Kun
WU, Chenshu
YANG, Zheng
ZHOU, Zimu
WANG, Xu
LIU, Yunhao
author_facet QIAN, Kun
WU, Chenshu
YANG, Zheng
ZHOU, Zimu
WANG, Xu
LIU, Yunhao
author_sort QIAN, Kun
title Enabling phased array signal processing for mobile WiFi devices
title_short Enabling phased array signal processing for mobile WiFi devices
title_full Enabling phased array signal processing for mobile WiFi devices
title_fullStr Enabling phased array signal processing for mobile WiFi devices
title_full_unstemmed Enabling phased array signal processing for mobile WiFi devices
title_sort enabling phased array signal processing for mobile wifi devices
publisher Institutional Knowledge at Singapore Management University
publishDate 2017
url https://ink.library.smu.edu.sg/sis_research/4879
https://ink.library.smu.edu.sg/context/sis_research/article/5882/viewcontent/08122023.pdf
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