Experimental Study of Smoothing Modifications of the MUSIC Algorithm for Direction of Arrival Estimation in Indoor Environments

Nowadays, the Direction of Arrival (DoA) estimation problem attracts much attention because of emerging use cases for wireless networks. DoA is beneficial for Reconfigurable Intelligent Surfaces, indoor localization, and various navigation and sensing applications, such as gesture recognition and ho...

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Autores principales:	Vladislav Molodtsov, Aleksey Kureev, Evgeny Khorov
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Direction of arrival estimation MUSIC smoothing Wi-Fi 5G 6G Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/542faaeb47b441a187307f14cc2c6c82
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spelling	oai:doaj.org-article:542faaeb47b441a187307f14cc2c6c822021-11-24T00:02:26ZExperimental Study of Smoothing Modifications of the MUSIC Algorithm for Direction of Arrival Estimation in Indoor Environments2169-353610.1109/ACCESS.2021.3127861https://doaj.org/article/542faaeb47b441a187307f14cc2c6c822021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9614137/https://doaj.org/toc/2169-3536Nowadays, the Direction of Arrival (DoA) estimation problem attracts much attention because of emerging use cases for wireless networks. DoA is beneficial for Reconfigurable Intelligent Surfaces, indoor localization, and various navigation and sensing applications, such as gesture recognition and home monitoring. The Multiple Signal Classification (MUSIC) algorithm is very promising for DoA estimation because it provides better accuracy than the other algorithms and remains simple enough to implement in hardware. MUSIC has many modifications designed to achieve better accuracy in indoor environments by combining and smoothing several measurements. However, such modifications have been implemented in equipment with different capabilities. Consequently, the modifications have never been compared under identical conditions. The paper addresses this issue, provides a classification of existing smoothing modifications of MUSIC, and proposes new ones not considered in the literature yet. All of them are compared in real Wi-Fi networks. For that, a testbed is designed that allows automatic measurements in multiple experiments with different positions of devices. A new calibration procedure is created to achieve higher accuracy, and the testbed is validated in an anechoic chamber. Finally, the paper suggests the preferable smoothing modifications of MUSIC for finding the DoA.Vladislav MolodtsovAleksey KureevEvgeny KhorovIEEEarticleDirection of arrival estimationMUSICsmoothingWi-Fi5G6GElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 153767-153774 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Direction of arrival estimation MUSIC smoothing Wi-Fi 5G 6G Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Direction of arrival estimation MUSIC smoothing Wi-Fi 5G 6G Electrical engineering. Electronics. Nuclear engineering TK1-9971 Vladislav Molodtsov Aleksey Kureev Evgeny Khorov Experimental Study of Smoothing Modifications of the MUSIC Algorithm for Direction of Arrival Estimation in Indoor Environments
description	Nowadays, the Direction of Arrival (DoA) estimation problem attracts much attention because of emerging use cases for wireless networks. DoA is beneficial for Reconfigurable Intelligent Surfaces, indoor localization, and various navigation and sensing applications, such as gesture recognition and home monitoring. The Multiple Signal Classification (MUSIC) algorithm is very promising for DoA estimation because it provides better accuracy than the other algorithms and remains simple enough to implement in hardware. MUSIC has many modifications designed to achieve better accuracy in indoor environments by combining and smoothing several measurements. However, such modifications have been implemented in equipment with different capabilities. Consequently, the modifications have never been compared under identical conditions. The paper addresses this issue, provides a classification of existing smoothing modifications of MUSIC, and proposes new ones not considered in the literature yet. All of them are compared in real Wi-Fi networks. For that, a testbed is designed that allows automatic measurements in multiple experiments with different positions of devices. A new calibration procedure is created to achieve higher accuracy, and the testbed is validated in an anechoic chamber. Finally, the paper suggests the preferable smoothing modifications of MUSIC for finding the DoA.
format	article
author	Vladislav Molodtsov Aleksey Kureev Evgeny Khorov
author_facet	Vladislav Molodtsov Aleksey Kureev Evgeny Khorov
author_sort	Vladislav Molodtsov
title	Experimental Study of Smoothing Modifications of the MUSIC Algorithm for Direction of Arrival Estimation in Indoor Environments
title_short	Experimental Study of Smoothing Modifications of the MUSIC Algorithm for Direction of Arrival Estimation in Indoor Environments
title_full	Experimental Study of Smoothing Modifications of the MUSIC Algorithm for Direction of Arrival Estimation in Indoor Environments
title_fullStr	Experimental Study of Smoothing Modifications of the MUSIC Algorithm for Direction of Arrival Estimation in Indoor Environments
title_full_unstemmed	Experimental Study of Smoothing Modifications of the MUSIC Algorithm for Direction of Arrival Estimation in Indoor Environments
title_sort	experimental study of smoothing modifications of the music algorithm for direction of arrival estimation in indoor environments
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/542faaeb47b441a187307f14cc2c6c82
work_keys_str_mv	AT vladislavmolodtsov experimentalstudyofsmoothingmodificationsofthemusicalgorithmfordirectionofarrivalestimationinindoorenvironments AT alekseykureev experimentalstudyofsmoothingmodificationsofthemusicalgorithmfordirectionofarrivalestimationinindoorenvironments AT evgenykhorov experimentalstudyofsmoothingmodificationsofthemusicalgorithmfordirectionofarrivalestimationinindoorenvironments
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Experimental Study of Smoothing Modifications of the MUSIC Algorithm for Direction of Arrival Estimation in Indoor Environments

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