Feasibility Study of Practical AoA Estimation Using Compressed CSI on Commercial WLAN Devices

Wireless local area network (WLAN)-based localization is key for advanced indoor Internet-of-Things and embedded sensor applications. To further improve the accuracy of indoor localization, attention has been focused on WLAN-based indoor localization using channel-state information (CSI) in addition...

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Main Authors: Takeru Fukushima, Tomoki Murakami, Hirantha Abeysekera, Takuya Fujihashi, Takashi Watanabe, Shunsuke Saruwatari
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9733911/
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author Takeru Fukushima
Tomoki Murakami
Hirantha Abeysekera
Takuya Fujihashi
Takashi Watanabe
Shunsuke Saruwatari
author_facet Takeru Fukushima
Tomoki Murakami
Hirantha Abeysekera
Takuya Fujihashi
Takashi Watanabe
Shunsuke Saruwatari
author_sort Takeru Fukushima
collection DOAJ
description Wireless local area network (WLAN)-based localization is key for advanced indoor Internet-of-Things and embedded sensor applications. To further improve the accuracy of indoor localization, attention has been focused on WLAN-based indoor localization using channel-state information (CSI) in addition to the existing information provided by received signal strength (RSS). For easy and low cost installation of wireless sensing, wireless sensing based on standardized protocols and commercial WLAN devices, such as IEEE 802.11ac and IEEE 802.11ax, is necessary. There are few papers demonstrating AoA estimation results by using commercial WLAN devices based on CSI. Therefore, we propose a practical method for estimating the AoA to solve four problems: 1) compressed CSI, which cannot be used for AoA estimation directly, 2) the antenna wireline, in which the phase changes depending on the length of the wireline, 3) the antenna spacing, in which the distance between antennas places a restriction on AoA estimation, and 4) antenna individuality, in which the antennas used in actual MIMO communication have different characteristics. We implemented the proposed method on IEEE 802.11ac devices and evaluated it in a lecture room and shield tent. The results indicate that the proposed method can estimate AoA with an average error of 9.1° and reduce the estimation error by 85.4 % compared with a straightforward approach.
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spelling doaj.art-b04bf3ba266b43539f072d5713052b9d2022-12-22T00:29:15ZengIEEEIEEE Access2169-35362022-01-0110491284914110.1109/ACCESS.2022.31593329733911Feasibility Study of Practical AoA Estimation Using Compressed CSI on Commercial WLAN DevicesTakeru Fukushima0https://orcid.org/0000-0001-6107-1513Tomoki Murakami1https://orcid.org/0000-0002-5617-155XHirantha Abeysekera2Takuya Fujihashi3https://orcid.org/0000-0002-6960-0122Takashi Watanabe4https://orcid.org/0000-0002-3227-9048Shunsuke Saruwatari5https://orcid.org/0000-0002-1625-5521Access Network Service Systems Laboratories, NTT Corporation, Yokosuka, JapanAccess Network Service Systems Laboratories, NTT Corporation, Yokosuka, JapanAccess Network Service Systems Laboratories, NTT Corporation, Yokosuka, JapanGraduate School of Information Science and Technology, Osaka University, Osaka, JapanGraduate School of Information Science and Technology, Osaka University, Osaka, JapanGraduate School of Information Science and Technology, Osaka University, Osaka, JapanWireless local area network (WLAN)-based localization is key for advanced indoor Internet-of-Things and embedded sensor applications. To further improve the accuracy of indoor localization, attention has been focused on WLAN-based indoor localization using channel-state information (CSI) in addition to the existing information provided by received signal strength (RSS). For easy and low cost installation of wireless sensing, wireless sensing based on standardized protocols and commercial WLAN devices, such as IEEE 802.11ac and IEEE 802.11ax, is necessary. There are few papers demonstrating AoA estimation results by using commercial WLAN devices based on CSI. Therefore, we propose a practical method for estimating the AoA to solve four problems: 1) compressed CSI, which cannot be used for AoA estimation directly, 2) the antenna wireline, in which the phase changes depending on the length of the wireline, 3) the antenna spacing, in which the distance between antennas places a restriction on AoA estimation, and 4) antenna individuality, in which the antennas used in actual MIMO communication have different characteristics. We implemented the proposed method on IEEE 802.11ac devices and evaluated it in a lecture room and shield tent. The results indicate that the proposed method can estimate AoA with an average error of 9.1° and reduce the estimation error by 85.4 % compared with a straightforward approach.https://ieeexplore.ieee.org/document/9733911/Wireless sensingangle-of-arrival estimationIEEE 80211acIEEE 80211axcompressed CSI
spellingShingle Takeru Fukushima
Tomoki Murakami
Hirantha Abeysekera
Takuya Fujihashi
Takashi Watanabe
Shunsuke Saruwatari
Feasibility Study of Practical AoA Estimation Using Compressed CSI on Commercial WLAN Devices
IEEE Access
Wireless sensing
angle-of-arrival estimation
IEEE 80211ac
IEEE 80211ax
compressed CSI
title Feasibility Study of Practical AoA Estimation Using Compressed CSI on Commercial WLAN Devices
title_full Feasibility Study of Practical AoA Estimation Using Compressed CSI on Commercial WLAN Devices
title_fullStr Feasibility Study of Practical AoA Estimation Using Compressed CSI on Commercial WLAN Devices
title_full_unstemmed Feasibility Study of Practical AoA Estimation Using Compressed CSI on Commercial WLAN Devices
title_short Feasibility Study of Practical AoA Estimation Using Compressed CSI on Commercial WLAN Devices
title_sort feasibility study of practical aoa estimation using compressed csi on commercial wlan devices
topic Wireless sensing
angle-of-arrival estimation
IEEE 80211ac
IEEE 80211ax
compressed CSI
url https://ieeexplore.ieee.org/document/9733911/
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