Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/11611
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dc.contributor.authorSakin, A.O.-
dc.contributor.authorTan, H.-
dc.contributor.authorOrduyilmaz, A.-
dc.date.accessioned2024-06-19T14:55:34Z-
dc.date.available2024-06-19T14:55:34Z-
dc.date.issued2024-
dc.identifier.isbn9783800762873-
dc.identifier.issn2197-4403-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/11611-
dc.description15th European Conference on Synthetic Aperture Radar, EUSAR 2024 -- 23 April 2024 through 26 April 2024 -- 199491en_US
dc.description.abstractHigh-resolution Direction of Arrival estimation is critical in radar-based target detection, particularly with limited snapshots. Our approach utilizes efficient computational techniques for precise 2D-paired-DOA estimation, employing a sparsely arranged V-shaped coprime array for its sensor element efficiency. To enhance reliability under low snapshot conditions, we integrate a Denoising Autoencoder to correct errors from noise and snapshot limitations. Subsequently, the DAE's output is fed into an SS-MUSIC algorithm, yielding an impressive over 80 percent DOA estimation accuracy improvement. This method offers a robust solution for high-resolution DOA estimation in scenarios constrained by limited snapshots. © VDE VERLAG GMBH ∙ Berlin ∙ Offenbach.en_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofProceedings of the European Conference on Synthetic Aperture Radar, EUSARen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectComputational efficiencyen_US
dc.subjectDirection of arrivalen_US
dc.subjectLearning systemsen_US
dc.subjectMultiple signal classificationen_US
dc.subjectRadar antennasen_US
dc.subjectTracking radaren_US
dc.subjectAuto encodersen_US
dc.subjectComputational techniqueen_US
dc.subjectCoprimeen_US
dc.subjectDe-noisingen_US
dc.subjectDirection of arrival estimationen_US
dc.subjectDOA estimationen_US
dc.subjectHigh resolutionen_US
dc.subjectLimited snapshotsen_US
dc.subjectSensor elementsen_US
dc.subjectTargets detectionen_US
dc.subjectAntenna arraysen_US
dc.titleDenoising Autoencoder-Driven Direction-Of Estimation With V-Shaped Coprime Antenna Arrayen_US
dc.typeConference Objecten_US
dc.departmentTOBB ETÜen_US
dc.identifier.startpage576en_US
dc.identifier.endpage581en_US
dc.identifier.scopus2-s2.0-85193986238-
dc.institutionauthorOrduyilmaz, A.-
dc.authorscopusid57771669800-
dc.authorscopusid59138650100-
dc.authorscopusid23490170000-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.identifier.scopusqualityQ4-
dc.identifier.wosqualityN/A-
item.openairetypeConference Object-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextnone-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
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