Velocity Estimation of Moving Acoustic Source Based on Acoustic Intensity Interference with Dual Hydrophones in Shallow Water

YAO Yuan; SUN Chao; XIE Lei; LIU Xionghou

doi:10.11993/j.issn.2096-3920.2022-0068

Volume 31 Issue 2

Apr 2023

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Article Navigation > Journal of Unmanned Undersea Systems > 2023 > 31(2): 278-284

YAO Yuan, SUN Chao, XIE Lei, LIU Xionghou. Velocity Estimation of Moving Acoustic Source Based on Acoustic Intensity Interference with Dual Hydrophones in Shallow Water[J]. Journal of Unmanned Undersea Systems, 2023, 31(2): 278-284. doi: 10.11993/j.issn.2096-3920.2022-0068

Citation:

YAO Yuan, SUN Chao, XIE Lei, LIU Xionghou. Velocity Estimation of Moving Acoustic Source Based on Acoustic Intensity Interference with Dual Hydrophones in Shallow Water[J]. Journal of Unmanned Undersea Systems, 2023, 31(2): 278-284. doi: 10.11993/j.issn.2096-3920.2022-0068

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Velocity Estimation of Moving Acoustic Source Based on Acoustic Intensity Interference with Dual Hydrophones in Shallow Water

doi: 10.11993/j.issn.2096-3920.2022-0068

YAO Yuan^{1, 2},
SUN Chao^{1, 2},
XIE Lei^{1, 2},
LIU Xionghou^{1, 2}

1.
School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, China
2.
Shaanxi Key Laboratory of Underwater Information Technology, Xi’an 710072, China

Received Date: 2022-11-04
Accepted Date: 2023-02-14
Rev Recd Date: 2023-01-09

Available Online: 2023-03-28

Abstract

Abstract

Considering the difficulty in estimating the acoustic source motion velocity using an interference striation pattern of a broadband continuum spectrum in a low-frequency analysis and recording(LOFAR) spectrum at a low signal-to-noise ratio(SNR), a moving sound source velocity estimation method based on the interference fluctuation of the line spectrum acoustic intensity with dual hydrophones is proposed. This method utilizes the motion parameters of the acoustic source to resample the temporal interference fluctuation of the line spectrum acoustic intensity and obtains the interference fluctuation of the line spectrum acoustic intensity at different frequencies that satisfy a proportional relationship. The time of the closest position of approach(CPA) and the range-to-velocity ratio of each hydrophone are determined by establishing the correlation coefficient cost function of the acoustic intensity interference fluctuation between the two frequency line spectra. By combining the position relationship between the acoustic source and the dual hydrophones, the velocity of the moving acoustic source can be calculated. The simulation results demonstrate that the proposed method can effectively estimate the velocity of a moving acoustic source and achieve good performance for a low-speed acoustic source in background noise.

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References(22)

References

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