Journal of Beijing University of Posts and Telecommunications

  • EI核心期刊

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 1998, Vol. 21 ›› Issue (4): 66-70.

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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:
     

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

CLC Number: