• DocumentCode
    3489722
  • Title

    Resonance based radar target identification using principal component analysis

  • Author

    Chen, W.C. ; Shuley, N.

  • Author_Institution
    Sch. of Inf. Technol. & Electr. Eng., Univ. of Queensland, Brisbane, QLD
  • fYear
    2008
  • fDate
    16-20 Dec. 2008
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper, a novel technique, based on principal component analysis (PCA), is used to enhance the resonance based target identification process. PCA is used to combine the backscattered signatures of the target from different incident aspect angles. The dominant CNRs of the target are then extracted from the fused signature.
  • Keywords
    backscatter; object detection; principal component analysis; radar detection; radar target recognition; CNR; backscattered signatures; complex natural resonances; fused signature extraction; principal component analysis; radar target identification; resonance enhancement; Australia; Data mining; Dielectric losses; Electromagnetic scattering; Information technology; Mechanical factors; Polarization; Principal component analysis; Radar theory; Resonance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Microwave Conference, 2008. APMC 2008. Asia-Pacific
  • Conference_Location
    Macau
  • Print_ISBN
    978-1-4244-2641-6
  • Electronic_ISBN
    978-1-4244-2642-3
  • Type

    conf

  • DOI
    10.1109/APMC.2008.4958454
  • Filename
    4958454
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3489722