IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/4047983.html
   My bibliography  Save this article

A Signal Processing Algorithm Based on 2D Matched Filtering for SSAR

Author

Listed:
  • Shouguo Yang
  • Yong Li
  • Kunhui Zhang
  • Jianshe Liu

Abstract

This study discusses a smart radar antenna scanning mode that combines features of both the sector-scan mode used for conventional radar and the line-scan mode used for synthetic aperture radar (SAR) and achieves an application of the synthetic aperture technique in the conventional sector-scan (mechanically scanned) radar, and we refer to this mode as sector-scan synthetic aperture radar (SSAR). The mathematical model is presented based on the principle of SSAR, and a signal processing algorithm is proposed based on the idea of two-dimensional (2D) matched filtering. The influences of the line-scan range and speed on the SSAR system are analyzed, and the solution to the problem that the target velocity is very high is given. The performance of the proposed algorithm is evaluated through computer simulations. The simulation results indicate that the proposed signal processing algorithm of SSAR can gather the signal energy of targets, thereby improving the ability to detect dim targets.

Suggested Citation

  • Shouguo Yang & Yong Li & Kunhui Zhang & Jianshe Liu, 2017. "A Signal Processing Algorithm Based on 2D Matched Filtering for SSAR," Mathematical Problems in Engineering, Hindawi, vol. 2017, pages 1-10, December.
  • Handle: RePEc:hin:jnlmpe:4047983
    DOI: 10.1155/2017/4047983
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2017/4047983.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/MPE/2017/4047983.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2017/4047983?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:jnlmpe:4047983. 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.