• DocumentCode
    2092038
  • Title

    1-D superresolution ISAR imaging algorithm

  • Author

    Peng, Cao ; Hua-qiang, Liang ; Wei-chao, He

  • Author_Institution
    Sch. of Electr. & Inf., NWPU, Xi´´an, China
  • fYear
    2010
  • fDate
    11-14 Nov. 2010
  • Firstpage
    659
  • Lastpage
    661
  • Abstract
    A novel 1-D scattering centers extraction algorithm of radar target based on conjugate unitary Root-MUSIC was introduced in this paper. To improve the resolution of 1-D scattering centers, the information of conjugated data was used availably by combining the observation data matrix with its conjugated data matrix. Centro-Hermitian data matrices with hermitian property was constructed by forward-backward(FB) averaging, Unitary transform was applied which convert the FB covariance matrix to a real matrix, and the computational efficiency is improved by real-valued eigendecomposition. Theory analysis and simulation result show that the new approach can improve the resolution and reduce significantly computational complexity.
  • Keywords
    computational complexity; covariance matrices; eigenvalues and eigenfunctions; radar imaging; radar resolution; synthetic aperture radar; 1D scattering centers extraction; 1D superresolution ISAR imaging; FB covariance matrix; centro-Hermitian data matrices; computational complexity; eigendecomposition; forward-backward averaging; radar target; unitary root-MUSIC; unitary transform; Computational modeling; Image resolution; Multiple signal classification; Scattering; Signal resolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Technology (ICCT), 2010 12th IEEE International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-6868-3
  • Type

    conf

  • DOI
    10.1109/ICCT.2010.5688960
  • Filename
    5688960