Radio spectrum analysis with a focus on WiFi bands using software-defined radio

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but.event.date26.04.2022cs
but.event.titleSTUDENT EEICT 2022cs
dc.contributor.authorPospisil, J.
dc.contributor.authorFujdiak, R.
dc.date.accessioned2023-04-25T10:17:05Z
dc.date.available2023-04-25T10:17:05Z
dc.date.issued2022cs
dc.description.abstractThis paper deals with the issue of radio spectrum analysis focused on WiFi (Wireless Fidelity) bands. The aim of the article is to approach the issue of capturing the radio spectrum and its visualization. Ways of approaching the solution of the problem are discussed, and on the basis of this comparison, attention is further focused on the use of SDR (Software Defined Radio). This device creates digitalized samples of captured radio signals and forwards them via USB to a computer, where the samples are further processed and visualized. The result is a functional program capable of visualizing this data in the form of a waterfall spectrogram. These results can also be additionally used for advanced machine analysis.en
dc.formattextcs
dc.format.extent485-489cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationProceedings I of the 28st Conference STUDENT EEICT 2022: General papers. s. 485-489. ISBN 978-80-214-6029-4cs
dc.identifier.isbn978-80-214-6029-4
dc.identifier.urihttp://hdl.handle.net/11012/209284
dc.language.isoencs
dc.publisherVysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.relation.ispartofProceedings I of the 28st Conference STUDENT EEICT 2022: General papersen
dc.relation.urihttps://conf.feec.vutbr.cz/eeict/index/pages/view/ke_stazenics
dc.rights© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.rights.accessopenAccessen
dc.subjectWireless spectrumen
dc.subjectanalysisen
dc.subjectSDRen
dc.subjectspectrogramen
dc.subjectwireless probeen
dc.subjectWiFi spectrumen
dc.titleRadio spectrum analysis with a focus on WiFi bands using software-defined radioen
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.departmentFakulta elektrotechniky a komunikačních technologiícs
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