IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-1-4757-1895-9_11.html
   My bibliography  Save this book chapter

Self-Cohering a Large, Distorted Antenna for Microwave Imaging

In: Adaptive and Learning Systems

Author

Listed:
  • Bernard D. Steinberg

    (University of Pennsylvania, Valley Forge Research Center Moore School of Electrical Engineering)

Abstract

A large phased array designed for microwave imaging consists of many independent antenna elements each weighted appropriately to provide the desired radiation pattern, and the weighted outputs are summed to form the system output. The arguments of the weights determine beam direction. The argument is a sensitive function of element location in the array and phase shifts in the circuits of each element receiver channel. Uncompensated position and/or phase errors result in severe image distortion. The Valley Forge Radio Camera is a large imaging microwave radar. Its 83 m antenna is very flimsy, highly distorted and nonrigid. The distortions are severe, bordering on 1 wavelength rms in the three position coordinates at the operating wavelength of 3 cm. An adaptive subsystem dynamically calibrates the array based upon measurements made of the radiation field at the array due to reflections from targets. Described is one of the algorithms used, the nature of the experiments conducted and the evidence of the validity of the adaptive beamforming method. High resolution microwave images of a town in the neighborhood of the laboratory are shown.

Suggested Citation

  • Bernard D. Steinberg, 1986. "Self-Cohering a Large, Distorted Antenna for Microwave Imaging," Springer Books, in: Kumpati S. Narendra (ed.), Adaptive and Learning Systems, pages 165-173, Springer.
    • Handle: RePEc:spr:sprchp:978-1-4757-1895-9_11
    DOI: 10.1007/978-1-4757-1895-9_11
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:spr:sprchp:978-1-4757-1895-9_11. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.