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Underwater Acoustic Time Delay Estimation Based on Envelope Differences of Correlation Functions

This paper proposes underwater acoustic time delay estimation based on the envelope differences of correlation functions (EDCF), which mitigates the delay estimation errors introduced by the amplitude fluctuations of the correlation function envelopes in the traditional correlation methods (CM). The...

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Detalles Bibliográficos
Autores principales: Li, Guodong, Wu, Jinsong, Tang, Taolin, Chen, Zhixin, Chen, Jun, Liu, Huang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6427377/
https://www.ncbi.nlm.nih.gov/pubmed/30871119
http://dx.doi.org/10.3390/s19051259
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author Li, Guodong
Wu, Jinsong
Tang, Taolin
Chen, Zhixin
Chen, Jun
Liu, Huang
author_facet Li, Guodong
Wu, Jinsong
Tang, Taolin
Chen, Zhixin
Chen, Jun
Liu, Huang
author_sort Li, Guodong
collection PubMed
description This paper proposes underwater acoustic time delay estimation based on the envelope differences of correlation functions (EDCF), which mitigates the delay estimation errors introduced by the amplitude fluctuations of the correlation function envelopes in the traditional correlation methods (CM). The performance of the proposed delay estimation method under different time values was analyzed, and the optimal difference time values are given. To overcome the influences of digital signal sampling intervals on time delay estimation, a digital time delay estimation approach with low complexity and high accuracy is proposed. The performance of the proposed time delay estimation was analyzed in underwater multipath channels. Finally, the accuracy of the delay estimation using this proposed method was demonstrated by experiments.
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spelling pubmed-64273772019-04-15 Underwater Acoustic Time Delay Estimation Based on Envelope Differences of Correlation Functions Li, Guodong Wu, Jinsong Tang, Taolin Chen, Zhixin Chen, Jun Liu, Huang Sensors (Basel) Article This paper proposes underwater acoustic time delay estimation based on the envelope differences of correlation functions (EDCF), which mitigates the delay estimation errors introduced by the amplitude fluctuations of the correlation function envelopes in the traditional correlation methods (CM). The performance of the proposed delay estimation method under different time values was analyzed, and the optimal difference time values are given. To overcome the influences of digital signal sampling intervals on time delay estimation, a digital time delay estimation approach with low complexity and high accuracy is proposed. The performance of the proposed time delay estimation was analyzed in underwater multipath channels. Finally, the accuracy of the delay estimation using this proposed method was demonstrated by experiments. MDPI 2019-03-12 /pmc/articles/PMC6427377/ /pubmed/30871119 http://dx.doi.org/10.3390/s19051259 Text en © 2019 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
Li, Guodong
Wu, Jinsong
Tang, Taolin
Chen, Zhixin
Chen, Jun
Liu, Huang
Underwater Acoustic Time Delay Estimation Based on Envelope Differences of Correlation Functions
title Underwater Acoustic Time Delay Estimation Based on Envelope Differences of Correlation Functions
title_full Underwater Acoustic Time Delay Estimation Based on Envelope Differences of Correlation Functions
title_fullStr Underwater Acoustic Time Delay Estimation Based on Envelope Differences of Correlation Functions
title_full_unstemmed Underwater Acoustic Time Delay Estimation Based on Envelope Differences of Correlation Functions
title_short Underwater Acoustic Time Delay Estimation Based on Envelope Differences of Correlation Functions
title_sort underwater acoustic time delay estimation based on envelope differences of correlation functions
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6427377/
https://www.ncbi.nlm.nih.gov/pubmed/30871119
http://dx.doi.org/10.3390/s19051259
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