• 中国科技核心期刊
  • JST收录期刊
CHEN Guang, YU Jin-fang, YANG Qing-hua. A Feature Recognition Method of Target Signal for Torpedo Electromanetic Fuze Based on Wavelet Transform Singularity Detection[J]. Journal of Unmanned Undersea Systems, 2013, 21(1): 030-33. doi: 10.11993/j.issn.1673-1948.2013.01.007
Citation: CHEN Guang, YU Jin-fang, YANG Qing-hua. A Feature Recognition Method of Target Signal for Torpedo Electromanetic Fuze Based on Wavelet Transform Singularity Detection[J]. Journal of Unmanned Undersea Systems, 2013, 21(1): 030-33. doi: 10.11993/j.issn.1673-1948.2013.01.007

A Feature Recognition Method of Target Signal for Torpedo Electromanetic Fuze Based on Wavelet Transform Singularity Detection

doi: 10.11993/j.issn.1673-1948.2013.01.007
  • Received Date: 2012-06-07
  • Rev Recd Date: 2012-06-14
  • Publish Date: 2013-02-20
  • The features of target signal for torpedo electromagnetic fuze must be extracted and recognized exactly to ensure reliable action of torpedo fuze. Lipchitz exponent method for symbolizing signal′s singularity is described, the principle of detecting signal′s singularity based on wavelet transform is introduced, and the presence of singular value in the envelope of the target signal for torpedo electromagnetic fuze after amplitude recognition is analyzed. Then a new recognition method is put forward for the features of time-varying rate and lasting time of the envelope.The method can detect accurately the singular point of the envelope signal by extracting the real feature of target signal and selecting suitable wavelet base function and decomposition scale. Simulation results show that in contrast to traditional recogni-tion methods with analogy circuits, the proposed method is easier in realization with weaker limitation of threshold voltage variation, besides, it has a high recognition precision and good engineering application.

     

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