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    Artificial Intelligence Based Under Water Acoustic Channel Equalizer Design
    (Institute of Electrical and Electronics Engineers Inc., 2022) Yucel, Fatma Ceren; Maraş, Meryem; Kepezkaya, Talat; Ayvaz, Elif Nur; Özen, Ali
    In 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.