IDEAS home Printed from https://ideas.repec.org/h/spr/lnechp/978-3-540-48271-0_20.html
   My bibliography  Save this book chapter

Decentralized Estimation for Cooperative Phantom Track Generation

In: Cooperative Systems

Author

Listed:
  • Tal Shima

    (Air Vehicles Directorate, Air Force Research Laboratory)

  • Phillip Chandler

    (Air Vehicles Directorate, Air Force Research Laboratory)

  • Meir Pachter

    (Air Force Institute of Technology)

Abstract

Summary A decentralized estimation-decision strategy is derived for a team of electronic combat air vehicles (ECAVs) deceiving a network of radars. For the deception, a phantom target track is cooperatively generated by each ECAV applying range delay on the individual radar pulses. To continuously obtain a feasible phantom track, the team must tightly coordinate the phantom’s trajectory so as not to violate any of the system constraints. The coordination is performed by a decentralized decision process for which each ECAV periodically transmits its constraints on feasible tracks. To perform the decision process with minimal communication between the ECAVs, a decentralized estimation algorithm is proposed where each ECAV continuously estimates the states of its teammates and their respective radar position based on their individual transmitted constraints. Thus, all the information obtained in the individual messages is extracted and group coordination is obtained. Moreover, if there are gaps in communication the team coordination can be maintained. Simulation results confirm the viability of the proposed decentralized estimation-decision team strategy.

Suggested Citation

  • Tal Shima & Phillip Chandler & Meir Pachter, 2007. "Decentralized Estimation for Cooperative Phantom Track Generation," Lecture Notes in Economics and Mathematical Systems, in: Don Grundel & Robert Murphey & Panos Pardalos & Oleg Prokopyev (ed.), Cooperative Systems, pages 339-350, Springer.
    • Handle: RePEc:spr:lnechp:978-3-540-48271-0_20
    DOI: 10.1007/978-3-540-48271-0_20
    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 search for a similarly titled item that would be available.

    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:lnechp:978-3-540-48271-0_20. 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.