Gaussian mixture model fitting and suppression of towed array flow noise

被引：0
|
作者：
Wang, Ran [1 ]
Wang, Guangzhe [1 ]
Zhang, Chenyu [2 ]
Guo, Qixin [3 ]
Zhang, Yongli [1 ]
Yu, Liang [4 ]
Gao, Yuan [5 ,6 ]
Chen, Nuo [5 ,6 ]
机构：
[1] School of Logistics Engineering, Shanghai Maritime University, Shanghai,201306, China
[2] College of Power and Energy Engineering, Harbin Engineering University, Harbin,150006, China
[3] College of Electronic and Information Engineering, Tongji University, Shanghai,201804, China
[4] School of Civil Aviation, Northwestern Polytechnical University, Xi’an,710072, China
[5] Shanghai Marine Electronic Equipment Research Institute, Shanghai,201108, China
[6] Science and Technology on Underwater Acoustics Antagonizing Laboratory, Shanghai,201108, China
来源：
Shengxue Xuebao/Acta Acustica | 2024年 / 49卷 / 05期
关键词：
Acoustic sources - Expectation Maximum algorithm - Flow noise - Gaussian Mixture Model - Model fitting - Pressure fluctuation - Sonar detection - Source signals - Towed array - Turbulent boundary layers;
D O I：
10.12395/0371-0025.2023033
中图分类号：
学科分类号：
摘要：
Aiming at the problem that it is difficult to accurately model and suppress the towed array flow noise caused by the pressure fluctuation in the turbulent boundary layer, this paper analyzes the generation mechanism of the towed array flow noise and the statistical properties of the noise. A hybrid Gaussian model modelling method is developed for the non-Gaussian distributed towed array flow noise, and a low-rank model of the acoustic source signal in the multi-channel towed array is established. The parameters in the model of the flow noise and the acoustic source signal are solved by the expectation-maximization algorithm, which ultimately realizes the separation of the flow noise and acoustic source signal in the received signal of the hydrophone. The results of the flow noise suppression and target orientation estimation of the actual lake test data show that the maximum side-valve level suppression reaches 8−10 dB without affecting the localization results. © 2024 Science Press. All rights reserved.
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页码：1030 / 1040
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