• DocumentCode
    1377189
  • Title

    Extended NCS Based on Method of Series Reversion for Imaging of Highly Squinted SAR

  • Author

    Sun, Guangcai ; Xing, Mengdao ; Liu, Yan ; Sun, Lu ; Bao, Zheng ; Wu, YiRong

  • Author_Institution
    Key Lab. for Radar Signal Process., Xidian Univ., Xi´´an, China
  • Volume
    8
  • Issue
    3
  • fYear
    2011
  • fDate
    5/1/2011 12:00:00 AM
  • Firstpage
    446
  • Lastpage
    450
  • Abstract
    In the case of high range resolution and squint angle, current chirp scaling algorithm (CSA) and nonlinear CSA (NCSA) have a finite ability to achieve high-quality images. The problem stems from a range-dependent (i.e., space-variant) cubic- and higher order terms of range frequency, which require sufficient compensation or space-variant filtering, in the phase of the synthetic aperture radar transfer function, and this letter aims at dealing with this problem. First, an inequation is introduced to evaluate the highest order of range frequency terms whose space-variant coefficient has to be taken into account. Then, based on the method of series reversion, this letter proposes the extended NCS which can weaken the range dependence of the considered range frequency terms and achieve accurate range cell migration correction and range compression. Simulation results are presented to validate the proposed method.
  • Keywords
    radar imaging; synthetic aperture radar; chirp scaling algorithm; extended NCS; high range resolution; high-quality images; highly squinted SAR; nonlinear CSA; range cell migration correction; range compression; series reversion; space-variant filtering; squint angle; synthetic aperture radar transfer function; Azimuth; Chirp; Frequency domain analysis; Imaging; Remote sensing; Signal processing algorithms; Sun; Extended nonlinear chirp scaling (ENCS); method of series reversion (MSR); range dependence;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1545-598X
  • Type

    jour

  • DOI
    10.1109/LGRS.2010.2084562
  • Filename
    5634072