@inproceedings{1df5035910724b90976b5d9555b9396d,
title = "Forward-Backward Turbo Equalization for Underwater Communication Systems",
abstract = "This paper proposes a novel equalization algorithm for underwater communication. It performs iteratively adaptive equalization and channel decoding in order to reduce intersymbol interference (ISI). In particular, our proposed forward-backward turbo equalizer uses two sparse feedforward-feedbackward equalizers operating in opposite time directions, each sparse equalizer performing jointly phase synchronization to enhance the overall performance. Our simulations, both on synthetic and real underwater channels validate the effectiveness of the proposed scheme as they show a considerable gain compared to the conventional adaptive turbo equalization algorithm.",
keywords = "Turbo equalization, channel decoding, underwater acoustic communication",
author = "Melek Khemir and Tarak Arbi and Benoit Geller",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; OCEANS 2024 - Halifax, OCEANS 2024 ; Conference date: 23-09-2024 Through 26-09-2024",
year = "2024",
month = jan,
day = "1",
doi = "10.1109/OCEANS55160.2024.10754142",
language = "English",
series = "Oceans Conference Record (IEEE)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "OCEANS 2024 - Halifax, OCEANS 2024",
}