• DocumentCode
    2289799
  • Title

    Using the Amplitude Fluctuation Property of Target HRRP for Radar Automatic Target Recognition

  • Author

    Du, Lan ; Liu, Hongwei ; Bao, Zheng

  • Author_Institution
    Nat. Lab. of Radar Signal Process., Xidian Univ., Xi´´an
  • fYear
    2006
  • fDate
    16-19 Oct. 2006
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Due to the aspect sensitivity of high-resolution range profile (HRRP), traditional radar HRRP target recognition methods usually use average profile within some target-aspect region as the target-aspect template. Actually, the amplitude fluctuation property of target HRRP also represents some feature information of the target. Based on the scattering center model, a new feature extraction method using the amplitude fluctuation property of target HRRP is proposed in this paper. The weighted HRRP feature extracted by the new method can represent the scatterer distribution in every range cell, thereby it can describe the scattering property of the target better. The experimental results based on measured data show that the new feature extraction method can greatly improve recognition performances
  • Keywords
    electromagnetic wave scattering; feature extraction; radar resolution; radar target recognition; HRRP; amplitude fluctuation property; aspect sensitivity; feature extraction method; feature information; high-resolution range profile; radar automatic target recognition; scattering center model; target-aspect template; Data mining; Euclidean distance; Feature extraction; Fluctuations; Image resolution; Performance evaluation; Radar imaging; Radar scattering; Radar signal processing; Target recognition; Average profile; Feature extraction; High-resolution range profile (HRRP); Radar automatic target recognition (RATR); Scattering center model; Variance profile;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar, 2006. CIE '06. International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    0-7803-9582-4
  • Electronic_ISBN
    0-7803-9583-2
  • Type

    conf

  • DOI
    10.1109/ICR.2006.343563
  • Filename
    4148225