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dc.contributor.authorOncu, A.
dc.contributor.authorAydin, A. G.
dc.contributor.authorErdogan, Y.
dc.contributor.authorAkdogan, A.
dc.date.accessioned2022-10-19T09:08:44Z
dc.date.available2022-10-19T09:08:44Z
dc.date.issued2022-12cs
dc.identifier.citationRadioengineering. 2022 vol. 31, č. 4, s. 460-467. ISSN 1210-2512cs
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/208491
dc.description.abstractThe increasing trend in air traffic density will continue in the near future with the addition of different aerial vehicles. Before the Mode-S protocol, Mode A and Mode C were in use; however, the Mode A/C configuration was only usable in sparsely dense air traffic. One of the useful features of Mode-S is the ability of probabilistic interrogation. However, there has not yet been a sophisticated algorithm for many close aircraft. Considering a futuristic air environment with a swarm of drones and airbuses equipped with transponders, we utilized the probabilistic interrogation feature of Mode-S and designed an algorithm. The proposed algorithm is able to collect close aircraft information in a relatively short time. There has also been created a high-level Mode-S uplink and downlink communication simulator in order to exchange all-call communication and record the algorithm’s performance in terms of time and number of interrogations sent.en
dc.formattextcs
dc.format.extent460-467cs
dc.format.mimetypeapplication/pdfen
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttps://www.radioeng.cz/fulltexts/2022/22_04_0460_0467.pdfcs
dc.rightsCreative Commons Attribution 4.0 International licenseen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectGarblingen
dc.subjectlockouten
dc.subjectMode-Sen
dc.subjectstochastic interrogationen
dc.titleMode-S Radar Interrogation Algorithm Design for Dense Air Traffic Environmenten
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
dc.coverage.issue4cs
dc.coverage.volume31cs
dc.identifier.doi10.13164/re.2022.0460en
dc.rights.accessopenAccessen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen


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Except where otherwise noted, this item's license is described as Creative Commons Attribution 4.0 International license