• 中国科技核心期刊
  • JST收录期刊
WANG Cong, WANG Hai-yan, BAI Jun. Method of Narrowband Signal Blind Deconvolution Based on Array Model[J]. Journal of Unmanned Undersea Systems, 2009, 17(4): 038-42. doi: 10.11993/j.issn.1673-1948.2009.04.008
Citation: WANG Cong, WANG Hai-yan, BAI Jun. Method of Narrowband Signal Blind Deconvolution Based on Array Model[J]. Journal of Unmanned Undersea Systems, 2009, 17(4): 038-42. doi: 10.11993/j.issn.1673-1948.2009.04.008

Method of Narrowband Signal Blind Deconvolution Based on Array Model

doi: 10.11993/j.issn.1673-1948.2009.04.008
  • Received Date: 2008-02-23
  • Rev Recd Date: 2008-03-08
  • Publish Date: 2009-09-05
  • In marine engineering technology, when targets are detected by a torpedo, we need to separate and locate the signals of targets. The signals that the torpedo sensor-array receives are always convolution mixture ones. Considering only the narrowband signal in the pure time-delayed convolution mixture, we combine blind separation with array signal processing, and transform real number convolution mixture to complex number instantaneous mixture. Therefore, based on array model of blind separation, we complete the blind deconvolution via complex number blind separation. Simulation results prove that the method is efficient, and the signals of multi-target source from sine signal deconvolution facilitate the feature identification and localization of multi-target.

     

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