• DocumentCode
    71531
  • Title

    Acceleration Model Analyses and Imaging Algorithm for Highly Squinted Airborne Spotlight-Mode SAR with Maneuvers

  • Author

    Shiyang Tang ; Linrang Zhang ; Ping Guo ; Gaogao Liu ; Guang-Cai Sun

  • Author_Institution
    Nat. Lab. of Radar Signal Process., Xidian Univ., Xi´an, China
  • Volume
    8
  • Issue
    3
  • fYear
    2015
  • fDate
    Mar-15
  • Firstpage
    1120
  • Lastpage
    1131
  • Abstract
    Synthetic aperture radar (SAR) imaging is usually performed along a straight path. In practice, variations from the ideal caused by maneuvers with acceleration are inevitable. The main problem is the complex signal processing, particularly in the highly squinted spotlight mode. In this paper, acceleration model is analyzed in more details. Impacts are obtained how the acceleration influences the Doppler parameters and space-variant terms, including the SAR resolution and azimuth bandwidth. According to the special signal properties of the acceleration case, an approximation of the range history is made to avoid using the method of series reversion (MSR) to obtain an accurate spectrum. Based on the high-accurate spectrum, a spotlight algorithm with a modified two-step approach is given. Simulation results show the effectiveness of the modified algorithm.
  • Keywords
    remote sensing by radar; synthetic aperture radar; Doppler parameters; SAR imaging; SAR resolution; acceleration model analysis; azimuth bandwidth; complex signal processing; high-accurate spectrum; highly squinted airborne spotlight-mode SAR; imaging algorithm; modified algorithm; series reversion method; space-variant terms; straight path; synthetic aperture radar; Acceleration; Azimuth; Bandwidth; Doppler effect; Mathematical model; Synthetic aperture radar; Vectors; Acceleration model; highly squinted; maneuvers; omega-K algorithm (OKA); spotlight synthetic aperture radar (SAR); two-step approach;
  • fLanguage
    English
  • Journal_Title
    Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
  • Publisher
    ieee
  • ISSN
    1939-1404
  • Type

    jour

  • DOI
    10.1109/JSTARS.2015.2399103
  • Filename
    7045487