Artificial Intelligence Based Under Water Acoustic Channel Equalizer Design

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dc.contributor.authorYucel, Fatma Ceren
dc.contributor.authorMaraş, Meryem
dc.contributor.authorKepezkaya, Talat
dc.contributor.authorAyvaz, Elif Nur
dc.contributor.authorÖzen, Ali
dc.date.accessioned2025-02-24T16:35:49Z
dc.date.available2025-02-24T16:35:49Z
dc.date.issued2022
dc.departmentFakülteler, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü
dc.description30th Signal Processing and Communications Applications Conference -- SIU 2022 -- 15 May 2022 through 18 May 2022 -- Safranbolu -- 182415
dc.description.abstractIn this study, it is suggested to use artificial intelligence assisted fuzzy logic based LMS (F-LMS) algorithm to improve the performance of single carrier (SC) underwater acoustic communication (UWAC) systems in multipath underwater acoustic channel environments. Numerical simulation studies are carried out to compare the proposed F-LMS algorithm with the bit error rate (BER) and mean square error (MSE) performance measures over decision feedback equalizer (DFE) and channel matched filter DFE (CMF-DFE). From the produced numerical results, it is understood that the best gains are achieved in both MSE and BER simulations with the proposed F-LMS algorithm. In addition to these, the most important contribution of the proposed study is to eliminate the error floor that occurs in DFE equalizers in BER simulations with CMF-DFE equalizers. © 2022 IEEE.
dc.identifier.doi10.1109/SIU55565.2022.9864992
dc.identifier.isbn978-166545092-8
dc.identifier.scopus2-s2.0-85138742006
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1109/SIU55565.2022.9864992
dc.identifier.urihttps://hdl.handle.net/20.500.14440/610
dc.indekslendigikaynakScopus
dc.language.isotr
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartof2022 30th Signal Processing and Communications Applications Conference, SIU 2022
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_Scopus_20250201
dc.subjectchannel equalization
dc.subjectCMF-DFE
dc.subjectDFE
dc.subjectSC-UWAC
dc.subjectunderwater acoustic channel
dc.subjectUnderwater acoustic communication
dc.titleArtificial Intelligence Based Under Water Acoustic Channel Equalizer Design
dc.title.alternativeYapay Zeka Destekli Su Alti Akustik Kanal Denkleştirici Tasarimi
dc.typeConference Object

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