Deep learning in electronic warfare systems: Automatic intra-pulse modulation recognition

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buir.contributor.authorArıkan, Orhan
buir.contributor.orcidArıkan, Orhan|0000-0002-3698-8888
dc.contributor.authorAkyön, Fatih Çağatayen_US
dc.contributor.authorAlp, Y. K.en_US
dc.contributor.authorGök, G.en_US
dc.contributor.authorArıkan, Orhanen_US
dc.coverage.spatialIzmir, Turkeyen_US
dc.date.accessioned2019-02-21T16:04:52Z
dc.date.available2019-02-21T16:04:52Z
dc.date.issued2018en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.descriptionDate of Conference: 2-5 May 2018en_US
dc.description.abstractDetection and classification of radars in electronic warfare systems is a major problem. In this work, we propose a novel deep learning based method that automatically recognizes intra-pulse modulation types of radar signals. We use reassigned short-time Fourier transforms of measured signals and detected outliers of the phase differences using robust least squares to train a hybrid structured convolutional neural network to distinguish frequency and phase modulated signals. Simulation results show that the developed method highly outperforms the current state-of-the-art methods in the literature.
dc.description.provenanceMade available in DSpace on 2019-02-21T16:04:52Z (GMT). No. of bitstreams: 1 Bilkent-research-paper.pdf: 222869 bytes, checksum: 842af2b9bd649e7f548593affdbafbb3 (MD5) Previous issue date: 2018en
dc.identifier.doi10.1109/SIU.2018.8404294en_US
dc.identifier.isbn9781538615010en_US
dc.identifier.urihttp://hdl.handle.net/11693/50216en_US
dc.language.isoTurkishen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.relation.isversionofhttps://doi.org/10.1109/SIU.2018.8404294
dc.source.title2018 26th Signal Processing and Communications Applications Conference (SIU)en_US
dc.subjectConvolutional neural networksen_US
dc.subjectDeep learningen_US
dc.subjectElectronic warfareen_US
dc.subjectRadar modulation recognitionen_US
dc.subjectRobust least squaresen_US
dc.subjectTime-frequency imageen_US
dc.titleDeep learning in electronic warfare systems: Automatic intra-pulse modulation recognitionen_US
dc.title.alternativeElektronik harp sistemlerinde derin ögrenme: otomatik darbe içi kipleme tanımaen_US
dc.typeConference Paperen_US

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