Yucel, Fatma CerenMaraş, MeryemKepezkaya, TalatAyvaz, Elif NurÖzen, Ali2025-02-242025-02-242022978-166545092-810.1109/SIU55565.2022.98649922-s2.0-85138742006https://doi.org/10.1109/SIU55565.2022.9864992https://hdl.handle.net/20.500.14440/61030th Signal Processing and Communications Applications Conference -- SIU 2022 -- 15 May 2022 through 18 May 2022 -- Safranbolu -- 182415In 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.trinfo:eu-repo/semantics/closedAccesschannel equalizationCMF-DFEDFESC-UWACunderwater acoustic channelUnderwater acoustic communicationConference ObjectN/A