A method of underwater sound source range estimation without prior knowledge based on single sensor in shallow water
Introduction: The lack of prior knowledge of the marine environment increases the difficulty of passive ranging of underwater sound sources by using a single hydrophone. The dispersion curve of the normal mode contains extensive marine environmental information, which can be extracted without prior...
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Frontiers Media S.A.
2023-03-01
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Series: | Frontiers in Physics |
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Online Access: | https://www.frontiersin.org/articles/10.3389/fphy.2023.1109220/full |
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author | Xiaoman Li Hongyun Chen Hongyu Lu Xuejie Bi Yaxiao Mo |
author_facet | Xiaoman Li Hongyun Chen Hongyu Lu Xuejie Bi Yaxiao Mo |
author_sort | Xiaoman Li |
collection | DOAJ |
description | Introduction: The lack of prior knowledge of the marine environment increases the difficulty of passive ranging of underwater sound sources by using a single hydrophone. The dispersion curve of the normal mode contains extensive marine environmental information, which can be extracted without prior knowledge, but the characteristics of dispersion curves of different modes vary, and the mode order cannot be determined from the received data.Methods: Herein, a method based on a single hydrophone that can jointly identify the mode order and estimate the propagation range in unknown marine environment is proposed. The method uses Bayesian theory as the main methodology and is applicable to broadband pulse sound sources in shallow seas with long-range propagation. The dispersion curves extracted from the data and those calculated by the dispersion formula are the input signal and the replica of the methods, respectively. Accurate identification of the normal mode order and estimation of the propagation range can be achieved by establishing the joint cost function.Results: In the case of unknown a priori knowledge of the marine environment, the method enables rapid inversion, is tolerant to environmental parameter mismatch, and is low cost and practical.Discussion: The simulation and measured data analysis results demonstrate the accuracy and validity of the method. The measured data contains linear frequency modulation impulse source signal and explosion sound source signals, and the mean relative error of range estimation is less than 5%. |
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issn | 2296-424X |
language | English |
last_indexed | 2024-04-10T04:05:39Z |
publishDate | 2023-03-01 |
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spelling | doaj.art-0ab1dd7b96a940db841413fdeba6a2a72023-03-13T05:36:24ZengFrontiers Media S.A.Frontiers in Physics2296-424X2023-03-011110.3389/fphy.2023.11092201109220A method of underwater sound source range estimation without prior knowledge based on single sensor in shallow waterXiaoman Li0Hongyun Chen1Hongyu Lu2Xuejie Bi3Yaxiao Mo4Ocean College, Jiangsu University of Science and Technology, Zhenjiang, ChinaOcean College, Jiangsu University of Science and Technology, Zhenjiang, ChinaOcean College, Jiangsu University of Science and Technology, Zhenjiang, ChinaOcean College, Jiangsu University of Science and Technology, Zhenjiang, ChinaKey Laboratory of Underwater Acoustic Environment, Institute of Acoustics, Chinese Academy of Sciences, Beijing, ChinaIntroduction: The lack of prior knowledge of the marine environment increases the difficulty of passive ranging of underwater sound sources by using a single hydrophone. The dispersion curve of the normal mode contains extensive marine environmental information, which can be extracted without prior knowledge, but the characteristics of dispersion curves of different modes vary, and the mode order cannot be determined from the received data.Methods: Herein, a method based on a single hydrophone that can jointly identify the mode order and estimate the propagation range in unknown marine environment is proposed. The method uses Bayesian theory as the main methodology and is applicable to broadband pulse sound sources in shallow seas with long-range propagation. The dispersion curves extracted from the data and those calculated by the dispersion formula are the input signal and the replica of the methods, respectively. Accurate identification of the normal mode order and estimation of the propagation range can be achieved by establishing the joint cost function.Results: In the case of unknown a priori knowledge of the marine environment, the method enables rapid inversion, is tolerant to environmental parameter mismatch, and is low cost and practical.Discussion: The simulation and measured data analysis results demonstrate the accuracy and validity of the method. The measured data contains linear frequency modulation impulse source signal and explosion sound source signals, and the mean relative error of range estimation is less than 5%.https://www.frontiersin.org/articles/10.3389/fphy.2023.1109220/fullshallow water waveguidenormal mode order identificationrange estimationBayesian inversion theorywithout prior knowledge |
spellingShingle | Xiaoman Li Hongyun Chen Hongyu Lu Xuejie Bi Yaxiao Mo A method of underwater sound source range estimation without prior knowledge based on single sensor in shallow water Frontiers in Physics shallow water waveguide normal mode order identification range estimation Bayesian inversion theory without prior knowledge |
title | A method of underwater sound source range estimation without prior knowledge based on single sensor in shallow water |
title_full | A method of underwater sound source range estimation without prior knowledge based on single sensor in shallow water |
title_fullStr | A method of underwater sound source range estimation without prior knowledge based on single sensor in shallow water |
title_full_unstemmed | A method of underwater sound source range estimation without prior knowledge based on single sensor in shallow water |
title_short | A method of underwater sound source range estimation without prior knowledge based on single sensor in shallow water |
title_sort | method of underwater sound source range estimation without prior knowledge based on single sensor in shallow water |
topic | shallow water waveguide normal mode order identification range estimation Bayesian inversion theory without prior knowledge |
url | https://www.frontiersin.org/articles/10.3389/fphy.2023.1109220/full |
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