IDEAS home Printed from https://ideas.repec.org/a/hin/complx/1647957.html
   My bibliography  Save this article

High-Resolution Squinted SAR Imaging Algorithm Applied in the Near-Field Environment

Author

Listed:
  • Shijia Wang
  • Shibo Wang
  • Wanli Liu

Abstract

In the squinted synthetic aperture radar (SAR) imaging of the near-field environment, range-dependent characteristic of squint angle cannot be ignored, which causes azimuth-dependent range cell migration (RCM) after linear range walk correction (LRWC). In this study, an efficient SAR imaging algorithm applied in the near-field environment is proposed. In the processing of the range focusing, LRWC is firstly used to remove the linear RCM. Then, the residual LRCM is expanded into azimuth-invariant and azimuth-variant terms in consideration of the residual LRCM of azimuth-dependent. Range cell migration azimuth scaling (RCMAS) is designed to remove the azimuth-variant term before secondary range compression (SRC) and range compression (RC). In the azimuth focusing, azimuth distortion compensation (ADC) is performed to compensate the azimuth distortion, following which azimuth nonlinear chirp scaling (ANCS) is applied to equalize the frequency modulation (FM) rate for azimuth compression (AC). The simulated results show that more accurate and improved imaging result can be obtained with the proposed algorithm.

Suggested Citation

  • Shijia Wang & Shibo Wang & Wanli Liu, 2020. "High-Resolution Squinted SAR Imaging Algorithm Applied in the Near-Field Environment," Complexity, Hindawi, vol. 2020, pages 1-13, May.
    • Handle: RePEc:hin:complx:1647957
    DOI: 10.1155/2020/1647957
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/8503/2020/1647957.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/8503/2020/1647957.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2020/1647957?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hin:complx:1647957. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.