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Volume 21 Issue 1
 
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Article Navigation >  Journal of Unmanned Undersea Systems  > 2013  >  21(1): 076-80
PAN Lin, ZHANG Xiao-min, LIU Yi-hai. An Identification Method of Ship Classification Based on Wavelet Frequency Band Statistical Features[J]. Journal of Unmanned Undersea Systems, 2013, 21(1): 076-80. doi: 10.11993/j.issn.1673-1948.2013.01.017
Citation: PAN Lin, ZHANG Xiao-min, LIU Yi-hai. An Identification Method of Ship Classification Based on Wavelet Frequency Band Statistical Features[J]. Journal of Unmanned Undersea Systems, 2013, 21(1): 076-80. doi: 10.11993/j.issn.1673-1948.2013.01.017
shu

An Identification Method of Ship Classification Based on Wavelet Frequency Band Statistical Features

doi: 10.11993/j.issn.1673-1948.2013.01.017

  • College of Marine Engineering, Northwestern Ploytechnical University, Xi′an 710072, China

  • Received Date: 2012-09-17
  • Rev Recd Date: 2012-10-08
  • Publish Date: 2013-02-20
    Abstract
  • This paper proposes an identification method of ship classification based on wavelet frequency band statisti-cal features to improve effectively the detection probability of a ship. In this method, the maximum of wavelet modulus for in-band signal of ship-radiated noise and the frequency band energy of outer band signal are extracted, respectively, by using wavelet transform, and the combination of the two target features is used for identifying a ship target. This method is verified by 58 sets of measured data of radiated noise from sea trial, and the results show an improved detec-tion probability of 97%.

     

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