Target Depth Classification Based on a Single Vector Hydrophone for Reliable Acoustic Paths in Deep Water

Depth classification of surface and underwater targets is helpful for rapid identification. The multipath arrival structure contains the position information of the target, which can be extracted for depth classification. Considering the vertical distribution of sound speed, this paper investigates...

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Bibliographic Details
Published in2024 OES China Ocean Acoustics (COA) pp. 1 - 7
Main Authors Xinyu, Lei, Haoyang, Zhang, Zhongrui, Zhu
Format Conference Proceeding
LanguageEnglish
Published IEEE 29.05.2024
Subjects
Acoustics
Classification algorithms
compound hypothesis testing
Delay effects
depth classification
multipath arrival structure
reliable acoustic path
Sea surface
Signal to noise ratio
Simulation
single vector hydrophone
Surface acoustic waves
Testing
Vectors
Water resources
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Summary:Depth classification of surface and underwater targets is helpful for rapid identification. The multipath arrival structure contains the position information of the target, which can be extracted for depth classification. Considering the vertical distribution of sound speed, this paper investigates the statistical relationship between the multipath time delay, vertical arrival angle, and target depth for a reliable sound path in a deep sea. Using composite hypothesis testing, a depth classification method using a single vector hydrophone is proposed. Herein, the multipath time delay between the direct and surface reflection waves is used as the test statistic, with the vertical arrival angle obtained from the ratio of the vertical and horizontal acoustic intensities from the signal recorded by a single vector sensor. The simulation results demonstrate that the proposed method is not sensitive to the horizontal distance of the target and can achieve good classification results at low signal-to-noise ratios.
DOI:10.1109/COA58979.2024.10723489