Artificial Intelligence Based Under Water Acoustic Channel Equalizer Design
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Tarih
2022
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
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.
Açıklama
30th Signal Processing and Communications Applications Conference -- SIU 2022 -- 15 May 2022 through 18 May 2022 -- Safranbolu -- 182415
Anahtar Kelimeler
channel equalization, CMF-DFE, DFE, SC-UWAC, underwater acoustic channel, Underwater acoustic communication
Kaynak
2022 30th Signal Processing and Communications Applications Conference, SIU 2022
WoS Q Değeri
Scopus Q Değeri
N/A
