Persistent homology approach for human presence detection from 60 GHz OTFS transmissions

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dc.contributor.authorMaršálek, Romancs
dc.contributor.authorZedka, Radimcs
dc.contributor.authorZöchmann, Erichcs
dc.contributor.authorVychodil, Josefcs
dc.contributor.authorZávorka, Radekcs
dc.contributor.authorGhiaasi Hafezi, Golsacs
dc.contributor.authorBlumenstein, Jiřícs
dc.coverage.issue4cs
dc.coverage.volume23cs
dc.date.issued2023-02-16cs
dc.description.abstractOrthogonal Time Frequency Space (OTFS) is a new, promising modulation waveform candidate for the next generation integrated sensing and communication (ISAC) systems, providing the environment-awareness capabilities together with high speed wireless data communications. This paper presents original results of OTFS-based person monitoring measurements in the 60 GHz millimeter-wave frequency band under realistic conditions, without the assumption of an integer ratio between the actual delays and Doppler shifts of the reflected components and the corresponding resolution of the OTFS grid. As the main contribution of the paper, we propose the use of the persistent homology technique as a method for processing of gathered delay-Doppler responses. We highlight the advantages of persistence homology approach over the standard constant false alarm rate target detector for selected scenarios.en
dc.formattextcs
dc.format.extent1-17cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationSENSORS. 2023, vol. 23, issue 4, p. 1-17.en
dc.identifier.doi10.3390/s23042224cs
dc.identifier.issn1424-8220cs
dc.identifier.orcid0000-0003-2926-5507cs
dc.identifier.orcid0000-0003-4005-8349cs
dc.identifier.orcid0000-0002-4219-9957cs
dc.identifier.orcid0000-0002-8495-8069cs
dc.identifier.orcid0000-0001-7435-7537cs
dc.identifier.other181670cs
dc.identifier.urihttp://hdl.handle.net/11012/213553
dc.language.isoencs
dc.publisherMDPIcs
dc.relation.ispartofSENSORScs
dc.relation.urihttps://www.mdpi.com/1424-8220/23/4/2224cs
dc.rightsCreative Commons Attribution 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/1424-8220/cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectOTFSen
dc.subjectmillimeter-wavesen
dc.subjectpersistent homologyen
dc.subjectCFARen
dc.subjectperson detectionen
dc.titlePersistent homology approach for human presence detection from 60 GHz OTFS transmissionsen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-181670en
sync.item.dbtypeVAVen
sync.item.insts2025.02.03 15:41:46en
sync.item.modts2025.01.17 16:45:23en
thesis.grantorVysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií. Ústav radioelektronikycs
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