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Detection Line Spectrum of Ship Radiated Noise Based on a New 3D Chaotic System

This paper proposes a new detection model of a weak signal based on a third-order chaotic system. Using a dynamic analysis tool, such as the Lyapunov exponent and the bifurcation diagram, variations of dynamic behavior can be observed, and the weak signal underwater can be picked up. In order to imp...

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Detalles Bibliográficos
Autores principales: Hu, Gang, Wang, Kejun, Liu, Liangliang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7956339/
https://www.ncbi.nlm.nih.gov/pubmed/33668982
http://dx.doi.org/10.3390/s21051610
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author Hu, Gang
Wang, Kejun
Liu, Liangliang
author_facet Hu, Gang
Wang, Kejun
Liu, Liangliang
author_sort Hu, Gang
collection PubMed
description This paper proposes a new detection model of a weak signal based on a third-order chaotic system. Using a dynamic analysis tool, such as the Lyapunov exponent and the bifurcation diagram, variations of dynamic behavior can be observed, and the weak signal underwater can be picked up. In order to improve the observability of detection signals in the time domain and frequency domain, the spectral entropy complexity algorithm (SE) and C(0) complexity algorithms are used to analyze and extract the weak signal. The experimental results show that the spectrum extraction based on the complexity algorithm can accurately reflect the dynamic characteristics of the detected signal. It provides the theoretical direction and experimental data support for the application of the chaotic system in the field of acoustic detection.
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spelling pubmed-79563392021-03-15 Detection Line Spectrum of Ship Radiated Noise Based on a New 3D Chaotic System Hu, Gang Wang, Kejun Liu, Liangliang Sensors (Basel) Communication This paper proposes a new detection model of a weak signal based on a third-order chaotic system. Using a dynamic analysis tool, such as the Lyapunov exponent and the bifurcation diagram, variations of dynamic behavior can be observed, and the weak signal underwater can be picked up. In order to improve the observability of detection signals in the time domain and frequency domain, the spectral entropy complexity algorithm (SE) and C(0) complexity algorithms are used to analyze and extract the weak signal. The experimental results show that the spectrum extraction based on the complexity algorithm can accurately reflect the dynamic characteristics of the detected signal. It provides the theoretical direction and experimental data support for the application of the chaotic system in the field of acoustic detection. MDPI 2021-02-25 /pmc/articles/PMC7956339/ /pubmed/33668982 http://dx.doi.org/10.3390/s21051610 Text en © 2021 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 Communication
Hu, Gang
Wang, Kejun
Liu, Liangliang
Detection Line Spectrum of Ship Radiated Noise Based on a New 3D Chaotic System
title Detection Line Spectrum of Ship Radiated Noise Based on a New 3D Chaotic System
title_full Detection Line Spectrum of Ship Radiated Noise Based on a New 3D Chaotic System
title_fullStr Detection Line Spectrum of Ship Radiated Noise Based on a New 3D Chaotic System
title_full_unstemmed Detection Line Spectrum of Ship Radiated Noise Based on a New 3D Chaotic System
title_short Detection Line Spectrum of Ship Radiated Noise Based on a New 3D Chaotic System
title_sort detection line spectrum of ship radiated noise based on a new 3d chaotic system
topic Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7956339/
https://www.ncbi.nlm.nih.gov/pubmed/33668982
http://dx.doi.org/10.3390/s21051610
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