Classification of intra-pulse modulation of radar signals by feature fusion based convolutional neural networks

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buir.contributor.authorArıkan, Orhan
buir.contributor.orcidArıkan, Orhan|0000-0002-3698-8888
dc.citation.epage2294en_US
dc.citation.spage2290en_US
dc.contributor.authorAkyon, Fatih Çağatayen_US
dc.contributor.authorAlp, Y. K.en_US
dc.contributor.authorGök, Gökhanen_US
dc.contributor.authorArıkan, Orhanen_US
dc.coverage.spatialRome, Italyen_US
dc.date.accessioned2019-02-21T16:08:36Zen_US
dc.date.available2019-02-21T16:08:36Zen_US
dc.date.issued2018en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.descriptionDate of Conference: 3-7 Sept. 2018en_US
dc.description.abstractDetection and classification of radars based on pulses they transmit is an important application in electronic warfare systems. In this work, we propose a novel deep-learning based technique that automatically recognizes intra-pulse modulation types of radar signals. Re-assigned spectrogram of measured radar signal and detected outliers of its instantaneous phases filtered by a special function are used for training multiple convolutional neural networks. Automatically extracted features from the networks are fused to distinguish frequency and phase modulated signals. Simulation results show that the proposed FF-CNN (Feature Fusion based Convolutional Neural Network) technique outperforms the current state-of-the-art alternatives and is easily scalable among broad range of modulation types.en_US
dc.description.provenanceMade available in DSpace on 2019-02-21T16:08:36Z (GMT). No. of bitstreams: 1 Bilkent-research-paper.pdf: 222869 bytes, checksum: 842af2b9bd649e7f548593affdbafbb3 (MD5) Previous issue date: 2018en
dc.identifier.doi10.23919/EUSIPCO.2018.8553176en_US
dc.identifier.eissn2076-1465en_US
dc.identifier.isbn9789082797015en_US
dc.identifier.urihttp://hdl.handle.net/11693/50422en_US
dc.language.isoEnglishen_US
dc.publisherIEEEen_US
dc.relation.isversionofhttps://doi.org/10.23919/EUSIPCO.2018.8553176en_US
dc.source.title2018 26th European Signal Processing Conference (EUSIPCO)en_US
dc.titleClassification of intra-pulse modulation of radar signals by feature fusion based convolutional neural networksen_US
dc.typeConference Paperen_US

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