volume | PIER Journals

Abstract

Modern combat teams face an increasingly complex battlefield, where threats may arise from a number of different sources. Examples include not only conventional attacks through rocket propelled grenades but also improvised explosive devices and weaponised unmanned aerial vehicles. Combat teams can now be equipped with sophisticated surveillance and reconnaissance capability, as well as automatically activated defences. The focus of this paper is to consider the utility of collaborative active protection systems, which are designed to provide an active defence against threats to a combat team. Specifically, a general statistical framework for the analysis of such systems is introduced, with a particular focus on high power radio frequency directed energy weapon countermeasures. The mathematical model allows for a subset of the combat team to be responsible for target detection and tracking, and a time-varying subset of team members with suitable countermeasures to be specified separately. The overall probability of threat defeat and team survivability is then derived. Some examples are provided to investigate the utility of such systems.

1. NATO Panel SCI-294, https://www.sto.nato.int/Lists/test1/activitydetails.aspx? ID=16085&ContentTypeId=0x0100880490B4FA57FB4E87FC.

2. Braidwood, S. and K. Hong, "Stopping car engines using high power electromagnetic pulses," International Conference on Electromagnetics in Advanced Applications, 2010.
doi:10.1109/TEMC.2008.2004600 Google Scholar

3. Bayram, Y., J. L. Volakis, S. K. Myoung, S. J. Doo, and P. Robin, "High power EMI on RF amplifier and digital modulation schemes," IEEE Transactions on Electromagnetic Compatibility, Vol. 50, 849-860, 2008. Google Scholar

4. Esteves, J., E. Cottais, and C. Kasmi, "Analysis of HPEM perturbations induced on the navigation system of a UAV," AMEREM, 2018. Google Scholar

5. Graswald, M., R. Gutser, F. Grabner, B. Meyer, C. Winter, and A. Oelerich, "Defeating UAVs through novel HPEM effectors," 31st International Symposium on Ballistics, India, 2019. Google Scholar

6. Radasky, W. A., "The threat of Intentional Electromagnetic Interference (IEMI) to wired and wireless systems," 17th International Zurich Symposium on Electromagnetic Compatibility, 2006. Google Scholar

7. Clarke, T., A. Taylor, N. Estep, S. Yakura, D. Brumit, D. Dietz, S. Hemmady, and J. Duffet, "Predictive modeling of high-power electromagnetic effects on electronics," International Conference on Electromagnetics in Advanced Applications, 2011.
doi:10.1109/TEMC.2004.831899 Google Scholar

8. Radasky, W. A., C. E. Baum, and M. W. Wik, "Introduction to the special issue on High Power Electromagnetics (HPEM) and Intentional Electromagnetic Interference (IEMI)," IEEE Transactions on Electromagnetic Compatibility, Vol. 46, 314-321, 2004.
doi:10.1109/TEMC.2004.831819 Google Scholar

9. Giri, D. V. and F. M. Tesche, "Classification of Intentional Electromagnetic Environments (IEME)," IEEE Transactions on Electromagnetic Compatibility, Vol. 46, 322-328, 2004. Google Scholar

10. Barnes, F. S., B. Greenebaum, and (Editors), Handbook of Biological Effects of Electromagnetic Fields: Biological and Medical Aspects of Electromagnetic Fields, 3rd Ed., CRC Press, 2006.

11. Simon, M. D., "Solid-state high power radio frequency directed energy systems in support of USMC force protection operations,", Masters Thesis, Naval Postgraduate School, Monterey, 2015. Google Scholar

12. Barton, D. K., "Land clutter models for radar design and analysis," Proceedings of the IEEE, 73, 1985. Google Scholar

13. Skolnik, M., Radar Handbook, McGraw-Hill, 2008.

14. Levanon, N., Radar Principles, John Wiley and Sons, 1988.
doi:10.1109/18.32133

15. Shnidman, D. A., "The calculation of the probability of detection and the generalized marcum Q-function," IEEE Transactions on Information Theory, Vol. 35, 389-400, 1989. Google Scholar

16. Currie, N. C., Radar Reflectivity Measurement, Techniques and Applications, Artech House, 1989.

Dr. Graham V. Weinberg