An Experimental Study: Detecting the Respiration Rates of Multiple Stationary Human Targets by Stepped Frequency Continuous Wave Radar

dc.contributor.author Acar, Yunus Emre
dc.contributor.author Sarıtaş, İsmail
dc.contributor.author Yaldız, Ercan
dc.date.accessioned 2021-12-13T10:19:40Z
dc.date.available 2021-12-13T10:19:40Z
dc.date.issued 2021
dc.description.abstract In this study, it is aimed to improve the maximum range and range resolution while detecting multiple targets' respiration rates. An original algorithm has been proposed for this purpose, and a Stepped Frequency Continuous Wave radar has been set up for experiments. Experiments have been executed with periodically moving plates and human targets. With a resolution of 30 cm, the detected maximum ranges are 7 m and 6.3 m for moving plate and human targets, respectively. In moving plate experiments, the average accuracies of the frequency measurements are above 98% for both single and multiple-target scenarios. In human target experiments, the average accuracy of the respiration rate measurements is 96.58% for single target experiments while it is 94.44% for multiple targets. The results show that the proposed structure outperforms the state-of-the-art benchmark in terms of the capability of sensing the respiration rate in a wide range with a high resolution. (C) 2020 Elsevier Ltd. All rights reserved. en_US
dc.description.sponsorship Selcuk UniversitySelcuk University [2018-OYP-032, 19301003] en_US
dc.description.sponsorship This work is financially supported by Academic Staff Training Program [2018-OYP-032] and Scientific Research Projects Coordinatorship [19301003] of Selcuk University. In addition, the authors would like to thank all volunteers who participated in the test studies as targets. en_US
dc.identifier.doi 10.1016/j.measurement.2020.108268
dc.identifier.issn 0263-2241
dc.identifier.issn 1873-412X
dc.identifier.scopus 2-s2.0-85089531001
dc.identifier.uri https://doi.org/10.1016/j.measurement.2020.108268
dc.identifier.uri https://hdl.handle.net/20.500.13091/28
dc.language.iso en en_US
dc.publisher ELSEVIER SCI LTD en_US
dc.relation.ispartof MEASUREMENT en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Stepped-Frequency Continuous-Wave Radar en_US
dc.subject Signal Processing en_US
dc.subject Respiration Rate en_US
dc.subject Range Resolution en_US
dc.subject Multiple Target en_US
dc.subject Clutter Rejection en_US
dc.subject Vital Sign en_US
dc.subject System en_US
dc.title An Experimental Study: Detecting the Respiration Rates of Multiple Stationary Human Targets by Stepped Frequency Continuous Wave Radar en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.id Saritas, Ismail/0000-0002-5743-4593
gdc.author.scopusid 57197856601
gdc.author.scopusid 25929497000
gdc.author.scopusid 6506271548
gdc.author.wosid Saritas, Ismail/F-3061-2011
gdc.bip.impulseclass C4
gdc.bip.influenceclass C4
gdc.bip.popularityclass C4
gdc.coar.access metadata only access
gdc.coar.type text::journal::journal article
gdc.description.department Fakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q1
gdc.description.startpage 108268
gdc.description.volume 167 en_US
gdc.description.wosquality Q1
gdc.identifier.openalex W3045605547
gdc.identifier.wos WOS:000579500000022
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gdc.index.type Scopus
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gdc.oaire.impulse 19.0
gdc.oaire.influence 3.4342615E-9
gdc.oaire.isgreen false
gdc.oaire.popularity 1.544759E-8
gdc.oaire.publicfunded false
gdc.oaire.sciencefields 0202 electrical engineering, electronic engineering, information engineering
gdc.oaire.sciencefields 02 engineering and technology
gdc.openalex.collaboration National
gdc.openalex.fwci 1.31540902
gdc.openalex.normalizedpercentile 0.77
gdc.opencitations.count 18
gdc.plumx.crossrefcites 19
gdc.plumx.mendeley 16
gdc.plumx.scopuscites 20
gdc.scopus.citedcount 20
gdc.virtual.author Yaldız, Ercan
gdc.wos.citedcount 16
relation.isAuthorOfPublication 262dc2df-528d-4176-ace8-9e09ef139269
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