@inproceedings{fceca5d1518e4e399443b26a14faa770,
title = "Low Complexity Adaptive Turbo Equalization for Multipath Underwater Communication",
abstract = "This paper deals with a receiver architecture where adaptive equalization and channel decoding are jointly performed in an iterative manner in order to both reduce intersymbol interference (ISI) and to recover phase error. To decrease the equalization complexity that can be prohibitive over some channels, we propose a low complexity turbo equalization with only a few coefficients to be updated. Simulation results show that our proposed low complexity equalizer allows a large reduction in computational complexity while also achieving better performance over multipath channels.",
keywords = "Turbo equalization, channel decoding, demodulation complexity, underwater acoustics communication",
author = "Zi Ye and Tarak Arbi and Benoit Geller",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 OCEANS - Marseille, OCEANS Marseille 2019 ; Conference date: 17-06-2019 Through 20-06-2019",
year = "2019",
month = jun,
day = "1",
doi = "10.1109/OCEANSE.2019.8866873",
language = "English",
series = "OCEANS 2019 - Marseille, OCEANS Marseille 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "OCEANS 2019 - Marseille, OCEANS Marseille 2019",
}