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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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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. |
format | Online Article Text |
id | pubmed-7956339 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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