Joint Vital Signs and Position Estimation of Multiple Persons Using SIMO Radar

Respiration rate monitoring using ultra-wideband (UWB) radar is preferred because it provides contactless measurement without restricting the person’s privacy. This study considers a novel non-contact-based solution using a single-input multiple-output (SIMO) UWB impulse radar. In the proposed syste...

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Autores principales:	Ibrahim Kakouche, Hamza Abadlia, Mohammed Nabil El Korso, Ammar Mesloub, Abdelmadjid Maali, Mohamed Salah Azzaz
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	impulse-response ultra-wideband (IR-UWB) radar single-input multiple-output (SIMO) generalized Goertzel algorithm (GGA) direction of arrival (DOA) respiration rate Electronics TK7800-8360
Acceso en línea:	https://doaj.org/article/fd3e6feeaf6b4ceea0de19183fb84f26
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id	oai:doaj.org-article:fd3e6feeaf6b4ceea0de19183fb84f26
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spelling	oai:doaj.org-article:fd3e6feeaf6b4ceea0de19183fb84f262021-11-25T17:24:48ZJoint Vital Signs and Position Estimation of Multiple Persons Using SIMO Radar10.3390/electronics102228052079-9292https://doaj.org/article/fd3e6feeaf6b4ceea0de19183fb84f262021-11-01T00:00:00Zhttps://www.mdpi.com/2079-9292/10/22/2805https://doaj.org/toc/2079-9292Respiration rate monitoring using ultra-wideband (UWB) radar is preferred because it provides contactless measurement without restricting the person’s privacy. This study considers a novel non-contact-based solution using a single-input multiple-output (SIMO) UWB impulse radar. In the proposed system, the collected radar data are converted to several narrow-band signals using the generalized Goertzel algorithm (GGA), which are used as the input of the designed phased arrays for position estimation. In this context, we introduce the incoherent signal subspace methods (ISSM) for the direction of arrivals (DOAs) and distance evaluation. Meanwhile, a beam focusing approach is used to determine each individual and estimate their breathing rate automatically based on a linearly constrained minimum variance (LCMV) beamformer. The experimental results prove that the proposed algorithm can achieve high estimation accuracy in a variety of test environments, with an error of 2%, 5%, and 2% for DOA, distance, and respiration rate, respectively.Ibrahim KakoucheHamza AbadliaMohammed Nabil El KorsoAmmar MesloubAbdelmadjid MaaliMohamed Salah AzzazMDPI AGarticleimpulse-response ultra-wideband (IR-UWB) radarsingle-input multiple-output (SIMO)generalized Goertzel algorithm (GGA)direction of arrival (DOA)respiration rateElectronicsTK7800-8360ENElectronics, Vol 10, Iss 2805, p 2805 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	impulse-response ultra-wideband (IR-UWB) radar single-input multiple-output (SIMO) generalized Goertzel algorithm (GGA) direction of arrival (DOA) respiration rate Electronics TK7800-8360
spellingShingle	impulse-response ultra-wideband (IR-UWB) radar single-input multiple-output (SIMO) generalized Goertzel algorithm (GGA) direction of arrival (DOA) respiration rate Electronics TK7800-8360 Ibrahim Kakouche Hamza Abadlia Mohammed Nabil El Korso Ammar Mesloub Abdelmadjid Maali Mohamed Salah Azzaz Joint Vital Signs and Position Estimation of Multiple Persons Using SIMO Radar
description	Respiration rate monitoring using ultra-wideband (UWB) radar is preferred because it provides contactless measurement without restricting the person’s privacy. This study considers a novel non-contact-based solution using a single-input multiple-output (SIMO) UWB impulse radar. In the proposed system, the collected radar data are converted to several narrow-band signals using the generalized Goertzel algorithm (GGA), which are used as the input of the designed phased arrays for position estimation. In this context, we introduce the incoherent signal subspace methods (ISSM) for the direction of arrivals (DOAs) and distance evaluation. Meanwhile, a beam focusing approach is used to determine each individual and estimate their breathing rate automatically based on a linearly constrained minimum variance (LCMV) beamformer. The experimental results prove that the proposed algorithm can achieve high estimation accuracy in a variety of test environments, with an error of 2%, 5%, and 2% for DOA, distance, and respiration rate, respectively.
format	article
author	Ibrahim Kakouche Hamza Abadlia Mohammed Nabil El Korso Ammar Mesloub Abdelmadjid Maali Mohamed Salah Azzaz
author_facet	Ibrahim Kakouche Hamza Abadlia Mohammed Nabil El Korso Ammar Mesloub Abdelmadjid Maali Mohamed Salah Azzaz
author_sort	Ibrahim Kakouche
title	Joint Vital Signs and Position Estimation of Multiple Persons Using SIMO Radar
title_short	Joint Vital Signs and Position Estimation of Multiple Persons Using SIMO Radar
title_full	Joint Vital Signs and Position Estimation of Multiple Persons Using SIMO Radar
title_fullStr	Joint Vital Signs and Position Estimation of Multiple Persons Using SIMO Radar
title_full_unstemmed	Joint Vital Signs and Position Estimation of Multiple Persons Using SIMO Radar
title_sort	joint vital signs and position estimation of multiple persons using simo radar
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/fd3e6feeaf6b4ceea0de19183fb84f26
work_keys_str_mv	AT ibrahimkakouche jointvitalsignsandpositionestimationofmultiplepersonsusingsimoradar AT hamzaabadlia jointvitalsignsandpositionestimationofmultiplepersonsusingsimoradar AT mohammednabilelkorso jointvitalsignsandpositionestimationofmultiplepersonsusingsimoradar AT ammarmesloub jointvitalsignsandpositionestimationofmultiplepersonsusingsimoradar AT abdelmadjidmaali jointvitalsignsandpositionestimationofmultiplepersonsusingsimoradar AT mohamedsalahazzaz jointvitalsignsandpositionestimationofmultiplepersonsusingsimoradar
_version_	1718412447074746368

Joint Vital Signs and Position Estimation of Multiple Persons Using SIMO Radar

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