Advertisement

Search, Classification and Attack Decisions for Cooperative Wide Area Search Munitions

  • David R. Jacques
Part of the Cooperative Systems book series (COSY, volume 1)

Abstract

There are currently several wide area search munitions in the research and development phase within the Department of Defense. While the work on the airframes, sensors, target recognition algorithms and navigation schemes is promising, there are insufficient analytical tools for evaluating the effectiveness of these concept munitions. Simulation can be used effectively for this purpose, but analytical results are necessary for validating the simulations and facilitating the design trades early in the development process. Recent research into cooperative behavior for autonomous munitions has further highlighted the importance of fundamental analysis to steer the direction of this new research venture. This paper presents extensions to some classic work in the area of search and detection. The unique aspect of the munition problem is that a search agent is lost whenever an attack is executed. This significantly impacts the overall effectiveness in a multi-target/false target environment. While the analytic development here will concentrate on the single munition case, extensions to the multi-munition will be discussed to include the potential benefit from cooperative classification and engagement.

Keywords

Cooperative Behavior Single Target Cooperative Control Real Target Target Case 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. [1]
    P.R. Chandler, M. Pachter, K. Nygard, and Dharba Swaroop, “Cooperative control for target classification”, in R. Murphey and P. Pardalos, editors, Cooperative Control and Optimization, pages 1–19, Kluwer Academic Publishers, 2002.CrossRefGoogle Scholar
  2. [2]
    D. Gillen and D. R. Jacques, “Cooperative behavior schemes for improving the effectiveness of autonomous wide area search munitions”, in R. Murphey and P. Pardalos, editors, Cooperative Control and Optimization, pages 95–120, Kluwer Academic Publishers, 2002.CrossRefGoogle Scholar
  3. [3]
    K. Passino, M. Polycarpou, D. Jacques, and M. Pachter, “Distributed cooperation and control for autonomous air vehicles”, in R. Murphey and P. Pardalos, editors, Cooperative Control and Optimization, pages 233–271, Kluwer Academic Publishers, 2002.CrossRefGoogle Scholar
  4. [4]
    B. O. Koopman, Search and Screening, Pergamon Press, New York, 1980.zbMATHGoogle Scholar
  5. [5]
    L. Stone, Theory of Optimal Search, Operations Research Society of America (ORSA), Batimore, MD, 1975.zbMATHGoogle Scholar
  6. [6]
    A. Washburn, Search and Detection, 2nd Ed., Institution for Operations Research and the Management Sciences (INFORMS), 1980.Google Scholar
  7. [7]
    R. Henderson, Notes on munition search effectiveness, 1997.Google Scholar
  8. [8]
    D. R. Jacques and R. Leblanc, “Effectiveness analysis for wide area search munitions”, in Proceedings of the 1998 AIAA Missile Sciences Conference, Monterey, CA, November 1998.Google Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2003

Authors and Affiliations

  • David R. Jacques
    • 1
  1. 1.Dept. of Aeronautics and AstronauticsAir Force Institute of TechnologyWright-Patterson AFBUSA

Personalised recommendations