IDEAS home Printed from https://ideas.repec.org/a/taf/tewaxx/v30y2016i9p1171-1182.html
   My bibliography  Save this article

Millimetre wave compressive sensing imaging based on coded frequency selective surface

Author

Listed:
  • Jia-jun Bai
  • Wen-bo Chen
  • Zhong-hao Deng
  • Guang-fu Zhang
  • Yun-qi Fu

Abstract

Based on the coded frequency-selective surface (FSS) loaded with PIN diodes and compressive sensing theory, we proposed a new method of millimetre wave compressive sensing imaging. The FSS is fed by a simple patch antenna right under of it, the diode in FSS unit is set “off” to be transparent to the incident millimetre wave, whereas it is set “on” to reflect the incident wave. By switching the state of each PIN diode randomly, we can get different radiation patterns with low correlation. Such a random-switching imaging mask can compress the information on the physical layer and provide enough effective measurements that are important for compressive sensing. At last, we use the sparsity adaptive matching pursuit (SAMP) algorithm to reconstruct the scene. Simulation results show that the aperture working at 37.5 GHz can accomplish the scene reconstruction with a PSNR = 22 dB and the compression ratio is 4:1.

Suggested Citation

  • Jia-jun Bai & Wen-bo Chen & Zhong-hao Deng & Guang-fu Zhang & Yun-qi Fu, 2016. "Millimetre wave compressive sensing imaging based on coded frequency selective surface," Journal of Electromagnetic Waves and Applications, Taylor & Francis Journals, vol. 30(9), pages 1171-1182, June.
  • Handle: RePEc:taf:tewaxx:v:30:y:2016:i:9:p:1171-1182
    DOI: 10.1080/09205071.2016.1184994
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/09205071.2016.1184994
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/09205071.2016.1184994?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:taf:tewaxx:v:30:y:2016:i:9:p:1171-1182. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/tewa .

    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.