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.
The views expressed in this article are those of the authors and do not reflect the official policy of the U.S. Air Force, Department of Defense, or the U.S. Government.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
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.
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.
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.
B. O. Koopman, Search and Screening, Pergamon Press, New York, 1980.
L. Stone, Theory of Optimal Search, Operations Research Society of America (ORSA), Batimore, MD, 1975.
A. Washburn, Search and Detection, 2nd Ed., Institution for Operations Research and the Management Sciences (INFORMS), 1980.
R. Henderson, Notes on munition search effectiveness, 1997.
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.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2003 Springer Science+Business Media Dordrecht
About this chapter
Cite this chapter
Jacques, D.R. (2003). Search, Classification and Attack Decisions for Cooperative Wide Area Search Munitions. In: Butenko, S., Murphey, R., Pardalos, P.M. (eds) Cooperative Control: Models, Applications and Algorithms. Cooperative Systems, vol 1. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-3758-5_5
Download citation
DOI: https://doi.org/10.1007/978-1-4757-3758-5_5
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4419-5241-7
Online ISBN: 978-1-4757-3758-5
eBook Packages: Springer Book Archive