| ELECTROMAGNETISM, OPTICS, ACOUSTICS, HEAT TRANSFER, CLASSICAL MECHANICS, AND FLUID DYNAMICS |
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Fast estimation of distance between two hydrophones using ocean ambient noise in multi-ship scenarios |
| Xuefeng Liu(刘雪枫)1,2,3, Zhi Xia(夏峙)1,2,3,†, Qi Li(李琪)1,2,3, and Ye Ding(丁烨)4 |
1 National Key Laboratory of Underwater Acoustic Technology, Harbin Engineering University, Harbin 150001, China;
2 Key Laboratory of Marine Information Acquisition and Security(Harbin Engineering University), Ministry of Industry and Information Technology, Harbin 150001, China;
3 College of Underwater Acoustic Engineering, Harbin Engineering University, Harbin 150001, China;
4 Library, Harbin Engineering University, Harbin 150001, China |
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Abstract Accurately estimating the bearing of a target with two hydrophones requires knowing the precise distance between them. However, in practice, it is difficult to measure this distance accurately due to the influence of current. To solve this problem, we propose a method for extracting the time-domain Green's function between two points in multi-ship scenarios and for extracting the time-domain waveform arrival structure between two hydrophones in real-time based on long samples of ship radiation noise cross-correlation. Using the cross-correlation function of the radiated noise from any ship located in the end-fire direction of the two hydrophones, we can estimate the distance between the hydrophones in real-time. To verify the accuracy of our estimation, we compare the result of azimuth estimation with the actual azimuth based on the azimuth estimation of a cooperative sound source in the maritime environment. Our experimental results show that the proposed method correctly estimates the distance between two hydrophones that cannot be directly measured and estimates the position of a cooperative sound source 4 km away with an average deviation of less than 1.2°.
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Received: 07 June 2023
Revised: 19 August 2023
Accepted manuscript online: 13 September 2023
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PACS:
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43.30.+m
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(Underwater sound)
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43.60.+d
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(Acoustic signal processing)
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92.10.Yb
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(Hydrography)
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92.10.Vz
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(Underwater sound)
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| Fund: The authors would like to thank the captain and crew for assistance with data collection. Project supported by the National Natural Science Foundation of China (Grant No.62171148). |
Corresponding Authors:
Zhi Xia
E-mail: xz885511@hrbeu.edu.cn
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Cite this article:
Xuefeng Liu(刘雪枫), Zhi Xia(夏峙), Qi Li(李琪), and Ye Ding(丁烨) Fast estimation of distance between two hydrophones using ocean ambient noise in multi-ship scenarios 2023 Chin. Phys. B 32 124301
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