• DocumentCode
    29484
  • Title

    Focusing Highly Squinted Data Using the Extended Nonlinear Chirp Scaling Algorithm

  • Author

    Gao-gao, Liu ; Lin-rang, Zhang ; Nan, Liu ; Guang-feng, Chen ; Yan, Zhang

  • Author_Institution
    Nat. Key Lab. for Radar Signal Process., Xidian Univ., Xi´´an, China
  • Volume
    10
  • Issue
    2
  • fYear
    2013
  • fDate
    Mar-13
  • Firstpage
    342
  • Lastpage
    346
  • Abstract
    The most serious problem in processing highly squinted data is the strong range-Doppler coupling, which can be reduced by the linear range cell migration correction (LRCMC). After the LRCMC, however, targets with different azimuth frequency modulation (FM) rates are moved into the same range cell, blocking the efficient azimuth compression. In this letter, a new algorithm to equalize the FM rates is presented, which is referred to as azimuth extended nonlinear chirp scaling. The key is to derive a new perturbation function to handle the problem while introducing a negligible residual phase. The proposed method outperforms the existing algorithms, particularly in large bandwidth cases. Numerical simulations illustrate the performance of the proposed algorithm.
  • Keywords
    Doppler radar; FM radar; numerical analysis; perturbation theory; synthetic aperture radar; LRCMC; azimuth FM rate; azimuth compression; azimuth extended nonlinear chirp scaling algorithm; azimuth frequency modulation rate; highly squinted SAR data; linear range cell migration correction; numerical simulation; perturbation function; strong range-Doppler coupling; Azimuth; Bandwidth; Chirp; Frequency modulation; Geometry; Signal processing algorithms; Synthetic aperture radar; Frequency modulation (FM); highly squinted; nonlinear chirp scaling (NLCS); perturbation function; synthetic aperture radar (SAR);
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1545-598X
  • Type

    jour

  • DOI
    10.1109/LGRS.2012.2203785
  • Filename
    6257417