基于双谱分析的高原灌木回波信号分类

Liyuan Li, Ping Li*, Guolin Li, Guangwei Zhang

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

1 引用 (Scopus)

摘要

The echo signal of the target is the most important way for radio fuze to obtain target information. This research employs bispectral analysis to examine the echo properties of terahertz wave at different heights of plateau in shrub terrain in order that the front-end of terahertz band fuze can be implemented into the plateau battle field in the future and adapt to the different landform environments of the plateau. In order to reduce the classification time, the bispectral data is integrated to obtain the bispectral slice features of the actual signal, and then the k-nearest neighbor algorithm is used for classification. Empirical mode decomposition (EMD) is used to extract the intrinsic mode function features of the original data, and the classification results are compared with the previous group. Through a series of data classification, the results show that using one-dimensional integrated bispectral information can effectively extract the features of 2 m, 3 m, 4 m, 5 m from the ground and classify them, empirical mode decomposition can also effectively improve the success rate of classification, the success rate can reach more than 90%.

投稿的翻译标题Classification of plateau shrub echo signal based on bispectrum analysis
源语言繁体中文
页(从-至)2070-2078
页数9
期刊Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics
48
10
DOI
出版状态已出版 - 10月 2022

关键词

  • Hilbert-Huang transform (HHT)
  • bispectrum analysis
  • classification
  • echo signal
  • plateau
  • terahertz

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