Source Depth Discrimination Based on the Interference Striation Slopes Distribution of Radiated Noise

AN Liang; XU Ruojun; CAO Hongli

doi:10.11999/JEIT211371

Volume 44 Issue 6

Jun. 2022

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AN Liang, XU Ruojun, CAO Hongli. Source Depth Discrimination Based on the Interference Striation Slopes Distribution of Radiated Noise[J]. Journal of Electronics & Information Technology, 2022, 44(6): 1906-1918. doi: 10.11999/JEIT211371

Citation:

AN Liang, XU Ruojun, CAO Hongli. Source Depth Discrimination Based on the Interference Striation Slopes Distribution of Radiated Noise[J]. Journal of Electronics & Information Technology, 2022, 44(6): 1906-1918. doi: 10.11999/JEIT211371

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Source Depth Discrimination Based on the Interference Striation Slopes Distribution of Radiated Noise

doi: 10.11999/JEIT211371

AN Liang^{1, 2
,
,},
XU Ruojun^{1, 3},
CAO Hongli^{1, 2}

1.
Key Laboratory of Underwater Acoustics Signal Processing of MOE, Southeast University, Nanjing 210096, China
2.
School of Information Science and Engineering, Southeast University, Nanjing 210096, China
3.
Chien-Shiung Wu Colledge, Southeast University, Nanjing 210096, China

Funds: The National Natural Science Foundation of China (91938203)

Received Date: 2021-11-30
Rev Recd Date: 2022-04-03

Available Online: 2022-04-21

Publish Date: 2022-06-21

Abstract

Abstract

Focusing on solving the depth discrimination of negative thermocline, an approach based on the slope distribution of interference pattern is present. In this method, a model for the variation of interference pattern distribution of radiated noise with the source depth is established using the difference in the excitation ability of surface and underwater sources of normal mode in shallow water waveguides with negative thermocline, and the physical mechanism of the difference in the slope distribution of interference pattern of radiated noise excited by surface and underwater sources is analyzed. Using the image processing algorithm, the difference is presented as the number of peaks in the column variance vector of the Radon transform matrix of the interference image of radiated noise, and the surface and underwater sources are discriminated accordingly. Simulative and experimental results show that the method can effectively discriminate between surface and underwater sources in shallow water waveguide with negative thermocline, and doesn’t require a priori information about the source distance and ocean acoustic environment parameters compared with the conventional method.
- Source depth discrimination,
- Radiated noise,
- Interference striation,
- Radon transform

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References(22)

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