Artificial Intelligence Based Under Water Acoustic Channel Equalizer Design Yapay Zeka Destekli Su Alti Akustik Kanal Denkleştirici Tasarimi
30th Signal Processing and Communications Applications Conference, SIU 2022, Safranbolu, Türkiye, 15 - 18 Mayıs 2022, (Tam Metin Bildiri)
- Yayın Türü: Bildiri / Tam Metin Bildiri
- Doi Numarası: 10.1109/siu55565.2022.9864992
- Basıldığı Şehir: Safranbolu
- Basıldığı Ülke: Türkiye
- Anahtar Kelimeler: channel equalization, CMF-DFE, DFE, SC-UWAC, underwater acoustic channel, Underwater acoustic communication
- Kayseri Üniversitesi Adresli: Hayır
Özet
© 2022 IEEE.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.