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 | |
| gdc.index.type | WoS | |
| gdc.index.type | Scopus | |
| gdc.oaire.diamondjournal | false | |
| 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 | |
| relation.isAuthorOfPublication.latestForDiscovery | 262dc2df-528d-4176-ace8-9e09ef139269 |
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