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Micro-Doppler Effect and Sparse Representation Analysis of Underwater Targets

At present, the micro-Doppler effects of underwater targets is a challenging new research problem. This paper studies the micro-Doppler effect of underwater targets, analyzes the moving characteristics of underwater micro-motion components, establishes echo models of harmonic vibration points and pl...

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Detalles Bibliográficos
Autores principales: Lu, Yan, Kou, Siwei, Wang, Xiaopeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10575204/
https://www.ncbi.nlm.nih.gov/pubmed/37836896
http://dx.doi.org/10.3390/s23198066
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author Lu, Yan
Kou, Siwei
Wang, Xiaopeng
author_facet Lu, Yan
Kou, Siwei
Wang, Xiaopeng
author_sort Lu, Yan
collection PubMed
description At present, the micro-Doppler effects of underwater targets is a challenging new research problem. This paper studies the micro-Doppler effect of underwater targets, analyzes the moving characteristics of underwater micro-motion components, establishes echo models of harmonic vibration points and plane and rotating propellers, and reveals the complex modulation laws of the micro-Doppler effect. In addition, since an echo is a multi-component signal superposed by multiple modulated signals, this paper provides a sparse reconstruction method combined with time–frequency distributions and realizes signal separation and time–frequency analysis. A MicroDopplerlet time–frequency atomic dictionary, matching the complex modulated form of echoes, is designed, which effectively realizes the concise representation of echoes and a micro-Doppler effect analysis. Meanwhile, the needed micro-motion parameter information for underwater signal detection and recognition is extracted.
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spelling pubmed-105752042023-10-14 Micro-Doppler Effect and Sparse Representation Analysis of Underwater Targets Lu, Yan Kou, Siwei Wang, Xiaopeng Sensors (Basel) Article At present, the micro-Doppler effects of underwater targets is a challenging new research problem. This paper studies the micro-Doppler effect of underwater targets, analyzes the moving characteristics of underwater micro-motion components, establishes echo models of harmonic vibration points and plane and rotating propellers, and reveals the complex modulation laws of the micro-Doppler effect. In addition, since an echo is a multi-component signal superposed by multiple modulated signals, this paper provides a sparse reconstruction method combined with time–frequency distributions and realizes signal separation and time–frequency analysis. A MicroDopplerlet time–frequency atomic dictionary, matching the complex modulated form of echoes, is designed, which effectively realizes the concise representation of echoes and a micro-Doppler effect analysis. Meanwhile, the needed micro-motion parameter information for underwater signal detection and recognition is extracted. MDPI 2023-09-25 /pmc/articles/PMC10575204/ /pubmed/37836896 http://dx.doi.org/10.3390/s23198066 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Lu, Yan
Kou, Siwei
Wang, Xiaopeng
Micro-Doppler Effect and Sparse Representation Analysis of Underwater Targets
title Micro-Doppler Effect and Sparse Representation Analysis of Underwater Targets
title_full Micro-Doppler Effect and Sparse Representation Analysis of Underwater Targets
title_fullStr Micro-Doppler Effect and Sparse Representation Analysis of Underwater Targets
title_full_unstemmed Micro-Doppler Effect and Sparse Representation Analysis of Underwater Targets
title_short Micro-Doppler Effect and Sparse Representation Analysis of Underwater Targets
title_sort micro-doppler effect and sparse representation analysis of underwater targets
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10575204/
https://www.ncbi.nlm.nih.gov/pubmed/37836896
http://dx.doi.org/10.3390/s23198066
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