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文章基本信息

  • 标题:RESEARCH ON UNDERWATER TARGET SIGNAL DETECTION AND RECOGNITION PROCESSING ALGORITHM
  • 本地全文:下载
  • 作者:Lijuan Wang ; Xiaojing Liu
  • 期刊名称:International Journal on Smart Sensing and Intelligent Systems
  • 印刷版ISSN:1178-5608
  • 出版年度:2014
  • 卷号:7
  • 期号:4
  • 页码:1753-1772
  • 出版社:Massey University
  • 摘要:Practical application of underwater target echo signal usually get disturbed a Gaussian noise and non-Gaussian noise, in view of the signal recognition problem, this paper proposes a double spectrum analysis based on wavelet transform domain method of weak signal and D-S data fusion algorithm. Through the study of double spectrum of the wavelet transform domain analysis to the signal processing algorithm, the characteristics of the target signal and noise source signal, a processing method of underwater target signal de-noising was presented. For multiple underwater target recognition, the model of underwater target multi-sensor signal recognition was studied. On the basis of analyzing the principle of D-S method and the fusion of multiple signal recognition, the concrete measures of D-S data fusion reasoning was researched and analyzed. By using the combination of simulation calculation and experiment measures, the results show the signal processing method is correct.
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