• DocumentCode
    1051387
  • Title

    Efficient algorithm for three-dimensional target feature extraction via CLSAR

  • Author

    Su, Z. ; Peng, Y. ; Wang, X.

  • Author_Institution
    Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
  • Volume
    40
  • Issue
    15
  • fYear
    2004
  • fDate
    7/22/2004 12:00:00 AM
  • Firstpage
    965
  • Lastpage
    966
  • Abstract
    A lower dimensional position searching (LODIPS) algorithm is proposed for three-dimensional (3-D) target feature extraction via the curvilinear synthetic aperture radar (CLSAR) system. Compared with another similarly structured algorithm RELAX, the LODIPS algorithm dramatically reduces the computational load through the utilisation of lower dimensional FFTs. Simulation results show that the new algorithm can reach CRB at low SNR.
  • Keywords
    fast Fourier transforms; feature extraction; radar imaging; synthetic aperture radar; Cramer-Rao bounds; LODIPS algorithm; RELAX algorithm; SNR; computational load; curvilinear synthetic aperture radar system; lower dimensional FFT; lower dimensional position searching; three dimensional target feature extraction;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:20040593
  • Filename
    1318899
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1051387