IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/8243686.html
   My bibliography  Save this article

Weak Target Detection Method of Passive Bistatic Radar Based on Probability Histogram

Author

Listed:
  • Panhe Hu
  • Qinglong Bao
  • Zengping Chen

Abstract

Passive bistatic radar (PBR) has attracted widespread attention for its capabilities in dealing with the threat of electronic countermeasure, stealth technology, and antiradiation missile. However, passive detection methods are limited by unknown characteristics of the uncooperative illuminators, and conventional radar signal processing algorithms cannot be conducted accurately, especially when the carrier frequency of the transmitting signal is agile and the signal-to-noise ratio (SNR) in the scattered wave of target is low. To address the above problems, this paper presents a novel weak target detection method based on probability histogram, which is then tested by a field experiment. Preliminary results indicate the feasibility of the proposed method in weak target detection.

Suggested Citation

  • Panhe Hu & Qinglong Bao & Zengping Chen, 2018. "Weak Target Detection Method of Passive Bistatic Radar Based on Probability Histogram," Mathematical Problems in Engineering, Hindawi, vol. 2018, pages 1-10, December.
  • Handle: RePEc:hin:jnlmpe:8243686
    DOI: 10.1155/2018/8243686
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2018/8243686.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/MPE/2018/8243686.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2018/8243686?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:8243686. 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.