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Machine Learning Based Biomimetic Underwater Covert Acoustic Communication Method Using Dolphin Whistle Contours

For underwater acoustic covert communications, biomimetic covert communications have been developed using dolphin whistles. The conventional biomimetic covert communication methods transmit slightly different signal patterns from real dolphin whistles, which results in a low degree of mimic (DoM). I...

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Detalles Bibliográficos
Autores principales: Ahn, Jongmin, Lee, Hojun, Kim, Yongcheol, Kim, Wanjin, Chung, Jaehak
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7662371/
https://www.ncbi.nlm.nih.gov/pubmed/33138137
http://dx.doi.org/10.3390/s20216166
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author Ahn, Jongmin
Lee, Hojun
Kim, Yongcheol
Kim, Wanjin
Chung, Jaehak
author_facet Ahn, Jongmin
Lee, Hojun
Kim, Yongcheol
Kim, Wanjin
Chung, Jaehak
author_sort Ahn, Jongmin
collection PubMed
description For underwater acoustic covert communications, biomimetic covert communications have been developed using dolphin whistles. The conventional biomimetic covert communication methods transmit slightly different signal patterns from real dolphin whistles, which results in a low degree of mimic (DoM). In this paper, we propose a novel biomimetic communication method that preserves the large DoM with a low bit error rate (BER). For the transmission, the proposed method utilizes the various contours of real dolphin whistles with the link information among consecutive whistles, and the proposed receiver uses machine learning based whistle detectors with the aid of the link information. Computer simulations and practical ocean experiments were executed to demonstrate the better BER performance of the proposed method. Ocean experiments demonstrate that the BER of the proposed method was 0.002, while the BER of the conventional Deep Neural Network (DNN) based detector showed 0.36.
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spelling pubmed-76623712020-11-14 Machine Learning Based Biomimetic Underwater Covert Acoustic Communication Method Using Dolphin Whistle Contours Ahn, Jongmin Lee, Hojun Kim, Yongcheol Kim, Wanjin Chung, Jaehak Sensors (Basel) Article For underwater acoustic covert communications, biomimetic covert communications have been developed using dolphin whistles. The conventional biomimetic covert communication methods transmit slightly different signal patterns from real dolphin whistles, which results in a low degree of mimic (DoM). In this paper, we propose a novel biomimetic communication method that preserves the large DoM with a low bit error rate (BER). For the transmission, the proposed method utilizes the various contours of real dolphin whistles with the link information among consecutive whistles, and the proposed receiver uses machine learning based whistle detectors with the aid of the link information. Computer simulations and practical ocean experiments were executed to demonstrate the better BER performance of the proposed method. Ocean experiments demonstrate that the BER of the proposed method was 0.002, while the BER of the conventional Deep Neural Network (DNN) based detector showed 0.36. MDPI 2020-10-29 /pmc/articles/PMC7662371/ /pubmed/33138137 http://dx.doi.org/10.3390/s20216166 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Ahn, Jongmin
Lee, Hojun
Kim, Yongcheol
Kim, Wanjin
Chung, Jaehak
Machine Learning Based Biomimetic Underwater Covert Acoustic Communication Method Using Dolphin Whistle Contours
title Machine Learning Based Biomimetic Underwater Covert Acoustic Communication Method Using Dolphin Whistle Contours
title_full Machine Learning Based Biomimetic Underwater Covert Acoustic Communication Method Using Dolphin Whistle Contours
title_fullStr Machine Learning Based Biomimetic Underwater Covert Acoustic Communication Method Using Dolphin Whistle Contours
title_full_unstemmed Machine Learning Based Biomimetic Underwater Covert Acoustic Communication Method Using Dolphin Whistle Contours
title_short Machine Learning Based Biomimetic Underwater Covert Acoustic Communication Method Using Dolphin Whistle Contours
title_sort machine learning based biomimetic underwater covert acoustic communication method using dolphin whistle contours
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7662371/
https://www.ncbi.nlm.nih.gov/pubmed/33138137
http://dx.doi.org/10.3390/s20216166
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