北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 1998, Vol. 21 ›› Issue (4): 66-70.

• 研究报告 • 上一篇    下一篇

毫米波瞬态信号的特征提取与识别

陈明奇, 杨义先   

  1. 北京邮电大学信息工程系, 北京 100876
  • 收稿日期:1997-11-26 出版日期:1998-09-10
  • 基金资助:
    国家自然科学基金资助项目(69772035)

The Feature Extraction and Recognition#br# of Milimeterwave Transient Signal

Chen Mingqi, Yang Yixian   

  1. Department of Information Engineering,Beijing University of Posts and Telecommunications, Beijing 100876
  • Received:1997-11-26 Online:1998-09-10
  • Supported by:
     

摘要: 将小波分析引入毫米波系统的目标识别中, 提出了基于小波分析的提取毫米波瞬态信号特征矢量的两种方法: 能量特征矢量法和模极大值特征矢量法, 识别结果证实了它们具有较理想的识别率, 提高了毫米波系统的目标识别性能.

关键词: 目标识别, 小波分析, 毫米波瞬态信号, 特征提取

Abstract: By introducing the wavelet analysis to the target recognition of the milimeterwave system, presented are two extracting feature methods based on wavelet analysis: energy feature vector method and local maxima feature vector method.The ideal target recognition rates are effected and the target recognition rate of the whole system is improved.

Key words: target recongnition, milimeterwave transient signal, wavelet analysis, feature extraction

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