深海波导中基于采样简正波模态降维处理的广义似然比检测

De Zhi Kong, Chao Sun, Ming Yang Li, Jie Zhuo, Xiong Hou Liu

科研成果: 期刊稿件文章同行评审

5 引用 (Scopus)

摘要

In this paper, two generalized likelihood ratio (GLR) detectors are presented for the case of multiple snapshots of test data to detect the presence of an underwater acoustic source in the deep ocean. The two GLR detectors are termed the eigenvalue detector (EVD) and the constant false alarm rate eigenvalue detector (CFAR EVD), respectively. Theoretical analysis and numerical results show that for a given input signal-to-noise ratio (SNR) of the array, the GLR detectors achieve higher output SNRs when the spatial dimension of test data decreases. To further enhance the detection performances of the GLR detectors, we propose a dimension-reduced (DR-GLR) method based on array sampling of modal information. This DR-GLR method combines the characteristics of sound propagation and array receiving. According to normal mode theory, acoustic signals emitted from the acoustic source lie in the modal space spanned by the sampled modal information of the array. Resulting from the restriction of the array size, it often occurs in deep ocean when the dimension of "effective modal subspace" is less than that of the test data which is equivalent to the number of hydrophones. Based on this phenomenon, we reconstruct the modal information by merely retaining the "effective modal subspace" to formulate the dimension reduction matrix. The DR-GLR test statistics is deduced by employing the dimension reduction matrix when using the vertical linear array (VLA) and the horizontal linear array (HLA), respectively. The DR-GLR detectors when using an HLA require more computational amount than when using a VLA. Simulation experiments are conducted to analyze the detection performances of the two GLR detectors, and verify the performance improvement effects of DR-GLR detectors. The numerical results show that the CFAR EVD presents good robustness to the uncertainty of the noise power and the DR-GLR detectors outperform the GLR detectors in detection performance. It also turns out the acoustic signals received by the HLA lie in a lower-dimensional "effective modal subspace" than by the VLA, and thus when using an HLA the DR-GLR detectors present higher detection probabilities than using a VLA. Moreover, the smaller the dimension of the "effective modal subspace", the better the performance improvement of the DR-GLR detectors will be. The dimension of the "effective modal subspace" increases with hydrophone spacing and/or the source frequency increasing.

投稿的翻译标题Dimension-reduced generalized likelihood ratio detection based on sampling of normal modes in deep ocean
源语言繁体中文
文章编号174301
期刊Wuli Xuebao/Acta Physica Sinica
68
17
DOI
出版状态已出版 - 5 9月 2019

关键词

  • Deep-ocean waveguide
  • Dimension reduction
  • Effective modal space
  • Generalized likelihood ratio

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