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Volume 16 Issue 6
 
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Article Navigation >  Journal of Unmanned Undersea Systems  > 2008  >  16(6): 038-43
HU Qiao, HAO Bao-an, LV Lin-xia, CHEN Ya-lin, SUN Qi. Feature Extraction Model for Underwater Target Radiated Noise[J]. Journal of Unmanned Undersea Systems, 2008, 16(6): 038-43. doi: 10.11993/j.issn.1673-1948.2008.06.008
Citation: HU Qiao, HAO Bao-an, LV Lin-xia, CHEN Ya-lin, SUN Qi. Feature Extraction Model for Underwater Target Radiated Noise[J]. Journal of Unmanned Undersea Systems, 2008, 16(6): 038-43. doi: 10.11993/j.issn.1673-1948.2008.06.008
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Feature Extraction Model for Underwater Target Radiated Noise

doi: 10.11993/j.issn.1673-1948.2008.06.008

  • The 705 Research Institute, China Shipbuilding Industry Corporation, Xi′an 710075, China

  • Received Date: 2008-03-26
  • Rev Recd Date: 2008-07-09
  • Publish Date: 2008-12-30
    Abstract
  • Due to the difficulty of correctly extracting the features of underwater target radiated noise in complicated environment, a novel feature extraction model for underwater target radiated noise (UTRN) was proposed based on second generation wavelet transform (SGWT), improved empirical mode decomposition (EMD) and Hilbert envelope spectrum analysis (HESA). Firstly, the nonstationary UTRN was filtered via SGWT to remove the noise components. Secondly, with the improved EMD, the filtered UTRN was decomposed to obtain the intrinsic mode functions (IMFs). Finally, the features of UTRN could be extracted by HESA of the IMFs. This proposed model was applied to the feature extraction of simulation signal and real radiated-noise data of underwater targets, and the results show that this model can more effectively extract the features from the radiated noise data, compared with the conventional wavelet filtration and HESA.

     

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