Neural Network Approach for Underwater Acoustic Communication in the Shallow Water

DOI

10.2991/aiie-15.2015.56How to use a DOI?

Keywords

underwater acoustic communication; shallow water; QPSK system; neural network; inter-symbol interference

Abstract

The transmitted acoustic signals are severely influenced by boundaries like as sea surface and bottom in the shallow water. Very large reflection signals from boundaries cause inter-symbol interference effect, the performance of the communication are degraded. Usually, to compensate the reflected signals under this kind of acoustic channel, is adopting the channel estimation based equalizers. In this study, we express neural network approaches for image data transmission in the shallow water. A simple neural network is adopted for the decision from output data. The QPSK system is used for the underwater acoustic communication simulations and experiments.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - K.C. Park
AU  - J.R. Yoon
PY  - 2015/07
DA  - 2015/07
TI  - Neural Network Approach for Underwater Acoustic Communication in the Shallow Water
BT  - Proceedings of the 2015 International Conference on Artificial Intelligence and Industrial Engineering
PB  - Atlantis Press
SP  - 200
EP  - 202
SN  - 1951-6851
UR  - https://doi.org/10.2991/aiie-15.2015.56
DO  - 10.2991/aiie-15.2015.56
ID  - Park2015/07
ER  -