• DocumentCode
    2249594
  • Title

    A radar target recognition method based on wavelet power spectrum and power offset

  • Author

    Jie, Wu ; Jianjiang, Zhou ; Jiehao, Zhu

  • Author_Institution
    Coll. of Inf. Sci. & Tech, Nanjing Univ. of Aero. & Astro, Nanjing, China
  • Volume
    2
  • fYear
    2010
  • fDate
    6-7 March 2010
  • Firstpage
    130
  • Lastpage
    134
  • Abstract
    Radar high resolution range profile (HRRP) is sensitive to the target aspect and highly overlapped in feature space between different targets, thereby hybrid features are suitable for representing the target´s property. In this paper, the quadratic spline wavelet with compact support properties was used to extract the energy spectrum features of HRRP by multi-resolution decomposition, and the power offset was defined to characterize the Structural characteristics of aircraft under different target-aspect. Then the joint features which combine the energy spectrum features and the power offset of HRRP were selected in the kernel space. The simulation results based on support vector machine (SVM) classifier show that the proposed method is effective.
  • Keywords
    feature extraction; radar target recognition; splines (mathematics); wavelet transforms; HRRP; SVM; aircraft; energy spectrum feature extraction; multiresolution decomposition; power offset; quadratic spline wavelet; radar high resolution range profile; radar target recognition; support vector machine classifier; wavelet power spectrum; Educational institutions; Energy resolution; Frequency; Radar imaging; Spaceborne radar; Support vector machine classification; Support vector machines; Target recognition; Wavelet analysis; Wavelet transforms; Radar high resolution range profile (HRRP); Wavelet Power Spectrum; feature selection; power offset;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Informatics in Control, Automation and Robotics (CAR), 2010 2nd International Asia Conference on
  • Conference_Location
    Wuhan
  • ISSN
    1948-3414
  • Print_ISBN
    978-1-4244-5192-0
  • Electronic_ISBN
    1948-3414
  • Type

    conf

  • DOI
    10.1109/CAR.2010.5456753
  • Filename
    5456753