DeepMUSIC: Multiple Signal Classification via Deep Learning
dc.authorscopusid | 55362509900 | |
dc.contributor.author | Elbir, Ahmet Musab | |
dc.date.accessioned | 2021-12-01T18:39:01Z | |
dc.date.available | 2021-12-01T18:39:01Z | |
dc.date.issued | 2020 | |
dc.department | DÜ, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü | en_US |
dc.description.abstract | This letter introduces a deep learning (DL) framework for the classification of multiple signals in direction finding (DF) scenario via sensor arrays. Previous works in DL context mostly consider a single or two target scenario, which is a strong limitation in practice. Hence, in this letter, we propose a DL framework called DeepMUSIC for multiple signal classification. We design multiple deep convolutional neural networks (CNNs), each of which is dedicated to a subregion of the angular spectrum. Each CNN learns the MUltiple SIgnal Classification (MUSIC) spectra of the corresponding angular subregion. Hence, it constructs a nonlinear relationship between the received sensor data and the angular spectrum. We have shown, through simulations, that the proposed DeepMUSIC framework has superior estimation accuracy and exhibits less computational complexity in comparison with both DL- and non-DL-based techniques. © 2017 IEEE. | en_US |
dc.identifier.doi | 10.1109/LSENS.2020.2980384 | |
dc.identifier.issn | 24751472 | |
dc.identifier.issue | 4 | en_US |
dc.identifier.scopus | 2-s2.0-85084025278 | en_US |
dc.identifier.scopusquality | Q2 | en_US |
dc.identifier.uri | https://doi.org/10.1109/LSENS.2020.2980384 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12684/9967 | |
dc.identifier.volume | 4 | en_US |
dc.identifier.wos | WOS:000723608800003 | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.institutionauthor | Elbir, A.M. | |
dc.language.iso | en | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_US |
dc.relation.ispartof | IEEE Sensors Letters | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | convolutional neural network (CNN) | en_US |
dc.subject | deep learning (DL) | en_US |
dc.subject | deep MUSIC | en_US |
dc.subject | direction finding (DF) | en_US |
dc.subject | direction-of-arrival (DOA) estimation | en_US |
dc.subject | MUltiple SIgnal Classification (MUSIC) | en_US |
dc.subject | Sensor signal processing | en_US |
dc.title | DeepMUSIC: Multiple Signal Classification via Deep Learning | en_US |
dc.type | Article | en_US |
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