Cargando…
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...
Autores principales: | , , , , |
---|---|
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 |
_version_ | 1783609384734031872 |
---|---|
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. |
format | Online Article Text |
id | pubmed-7662371 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT ahnjongmin machinelearningbasedbiomimeticunderwatercovertacousticcommunicationmethodusingdolphinwhistlecontours AT leehojun machinelearningbasedbiomimeticunderwatercovertacousticcommunicationmethodusingdolphinwhistlecontours AT kimyongcheol machinelearningbasedbiomimeticunderwatercovertacousticcommunicationmethodusingdolphinwhistlecontours AT kimwanjin machinelearningbasedbiomimeticunderwatercovertacousticcommunicationmethodusingdolphinwhistlecontours AT chungjaehak machinelearningbasedbiomimeticunderwatercovertacousticcommunicationmethodusingdolphinwhistlecontours |