• DocumentCode
    641698
  • Title

    Classification scheme for airplane targets based on empirical mode decomposition

  • Author

    Wang Baoshuai ; Du Lan ; Li Yanbing ; Ruan Long ; Liu Hongwei

  • Author_Institution
    Nat. Lab. of Radar Signal Process., Xidian Univ., Xi´an, China
  • fYear
    2013
  • fDate
    14-16 April 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper proposes a new method for the classification problem of turbojet aircraft, prop aircraft and helicopter under the condition of low-resolution radar system. Based on the jet engine modulation (JEM) characteristics of the aircrafts´ radar echoes, we use the Empirical Mode Decomposition (EMD) algorithm to extract the three-dimensional micro-Doppler feature vector. Experimental results based on the simulated training data and the measured test data are presented, including the performance analysis for different Signal-Noise-Ratio (SNR) cases and comparison with some related methods.
  • Keywords
    Doppler radar; airborne radar; echo; feature extraction; helicopters; modulation; radar resolution; EMD algorithm; SNR; airplane target; classification scheme; empirical mode decomposition algorithm; helicopter; jet engine modulation; low-resolution radar system; microDoppler feature vector extraction; performance analysis; prop aircraft; radar echoes; signal-noise-ratio; turbojet aircraft; Empirical Mode Decomposition (EMD); Feature extraction; Jet engine modulation (JEM); Micro-Doppler;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Radar Conference 2013, IET International
  • Conference_Location
    Xi´an
  • Electronic_ISBN
    978-1-84919-603-1
  • Type

    conf

  • DOI
    10.1049/cp.2013.0286
  • Filename
    6624450