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dc.contributor.authorJaradat, Ahmad M.
dc.contributor.authorElgammal, Khaled Walid
dc.contributor.authorÖzdemir, Mehmet Kemal
dc.contributor.authorArslan, Hüseyin
dc.date.accessioned2021-09-24T06:45:33Z
dc.date.available2021-09-24T06:45:33Z
dc.date.issued2021en_US
dc.identifier.citationJaradat, A. M., Elgammal, K. W., Özdemir, M. K. ve Arslan, H. (2021). Identification of the number of wireless channel taps using deep neural networks. 19th IEEE International New Circuits and Systems Conference, NEWCAS 2021. Toulon, 13-16 June 2021. https://dx.doi.org/10.1109/NEWCAS50681.2021.9462770en_US
dc.identifier.isbn9781665424295
dc.identifier.urihttps://dx.doi.org/10.1109/NEWCAS50681.2021.9462770
dc.identifier.urihttps://hdl.handle.net/20.500.12511/8289
dc.description.abstractIn wireless communication systems, identifying the number of channel taps offers an enhanced estimation of the channel impulse response (CIR). In this work, efficient identification of the number of wireless channel taps has been achieved via deep neural networks (DNNs), where we modified an existing DNN and analyzed its convergence performance using only the transmitted and received signals of a wireless system. The displayed results demonstrate that the adopted DNN accomplishes superior performance in identifying the number of channel taps, as compared to an existing algorithm called Spectrum Weighted Identification of Signal Sources (SWISS).en_US
dc.language.isoengen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectChannel Identificationen_US
dc.subjectChannel Impulse Responseen_US
dc.subjectChannel Tapsen_US
dc.subjectDeep Neural Networken_US
dc.subjectWireless Channelen_US
dc.titleIdentification of the number of wireless channel taps using deep neural networksen_US
dc.typeconferenceObjecten_US
dc.relation.journal19th IEEE International New Circuits and Systems Conference, NEWCAS 2021en_US
dc.departmentİstanbul Medipol Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümüen_US
dc.authorid0000-0001-8856-4895en_US
dc.authorid0000-0002-9054-0005en_US
dc.authorid0000-0001-9474-7372en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.identifier.doi10.1109/NEWCAS50681.2021.9462770en_US


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