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拖曳阵列流致噪声的混合高斯建模与抑制

  • Ran Wang
  • , Guangzhe Wang
  • , Chenyu Zhang
  • , Qixin Guo
  • , Yongli Zhang
  • , Liang Yu
  • , Yuan Gao
  • , Nuo Chen
  • Shanghai Maritime University
  • College of Power and Energy Engineering, Harbin Engineering University
  • Tongji University
  • Shanghai Marine Electronic Equipment Research Institute
  • Science and Technology on Underwater Acoustics Antagonizing Laboratory

科研成果: 期刊稿件文章同行评审

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.

投稿的翻译标题Gaussian mixture model fitting and suppression of towed array flow noise
源语言繁体中文
页(从-至)1030-1040
页数11
期刊Shengxue Xuebao/Acta Acustica
49
5
DOI
出版状态已出版 - 9月 2024

关键词

  • Expectation maximum algorithm
  • Flow noise
  • Gaussian mixture model
  • Sonar detection
  • Towed array

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