IDEAS home Printed from https://ideas.repec.org/a/sae/intdis/v12y2016i2p9437602.html
   My bibliography  Save this article

Sparsity-Based Optimization of the Sensors Positions in Radar Networks with Separated Transmit and Receive Nodes

Author

Listed:
  • I. M. Ivashko
  • O. A. Krasnov
  • A. G. Yarovoy

Abstract

A sparsity-based approach for the joint optimization of the transmit and the receive nodes positions in the radar network with widely distributed antennas is proposed in this paper. The optimization problem is formulated as minimization of the number of radars that meet fixed target localization requirements over the surveillance area. We demonstrated that this type of the problem is different from the problem of the monostatic radar network topology optimization and implies the bilinear matrix inequality (BMI) problem. To tackle it, we propose to use the relaxation technique, which allows for joint selection of the positions for transmit and receive radar nodes. Provided numerical analysis shows that, in order to satisfy the same requirements to the target localization accuracy, the radar network with bistatic radars requires less number of the nodes than the one with monostatic radars.

Suggested Citation

  • I. M. Ivashko & O. A. Krasnov & A. G. Yarovoy, 2016. "Sparsity-Based Optimization of the Sensors Positions in Radar Networks with Separated Transmit and Receive Nodes," International Journal of Distributed Sensor Networks, , vol. 12(2), pages 9437602-943, February.
    • Handle: RePEc:sae:intdis:v:12:y:2016:i:2:p:9437602
    DOI: 10.1155/2016/9437602
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1155/2016/9437602
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2016/9437602?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:sae:intdis:v:12:y:2016:i:2:p:9437602. 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: SAGE Publications (email available below). General contact details of provider: .

    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.