2012-04-21
Radar Identification of Hostile Fire by Means of the Electromagnetic Complex Natural Resonances of Projectiles
By
Progress In Electromagnetics Research M, Vol. 24, 167-178, 2012
Abstract
The authors discuss and demonstrate the feasibility of using ultra wide band microwave radar to detect and identify small arms fire. Detection and tracking is by standard radar techniques, but identification is carried out by exciting the projectiles Complex Natural Resonances and using this aspect independent information to assign a caliber to the incoming projectiles. The typical sizes of small arms projectiles (calibers 5.56 mm through to 13 mm) imply that ultra wide band illumination in the microwave region of the spectrum between 1.5-5.5 GHz is required to excite these object's fundamental resonances. The authors give a discussion of the effects of motion on the quality of the complex natural resonance data obtainable and present both simulated and laboratory data for the radar cross section of three different caliber projectiles (5.56 mm, 7.62 mm and 13 mm).
Citation
Stuart William Harmer, Shawn Edward Cole, and Nicholas John Bowring, "Radar Identification of Hostile Fire by Means of the Electromagnetic Complex Natural Resonances of Projectiles," Progress In Electromagnetics Research M, Vol. 24, 167-178, 2012.
doi:10.2528/PIERM12031305
References

1. Baum, C. E., "On the singularity expansion method for the solution of electromagnetic interaction problems,", Interaction Notes, Note 88, Air Force Weapons Laboratory, 1971.        Google Scholar

2. Baum, C. E., "The singularity expansion method: Background and developments," IEEE Antennas and Propagation Society Newsletter, 1986.
doi:10.2528/PIER99040501        Google Scholar

3. Wang, Y. and N. Shuley, "Complex resonant frequencies for the identification of simple objects in free space and lossy environments," Progress In Electromagnetics Research, Vol. 27, 1-18, 2000.
doi:10.1163/1569393053305062        Google Scholar

4. Lee, J. H. and H. T. Kim, "Radar target discrimination using transient response reconstruction," Journal of Electromagnetic Waves and Application, Vol. 19, No. 5, 655-669, 2005.
doi:10.2528/PIER02100201        Google Scholar

5. Toribio, R., J. Saillard, and P. Pouliguen, "Identification of radar targets in resonance zone: E-pulse techniques," Progress In Electromagnetics Research, Vol. 43, 39-58, 2003.
doi:10.1109/TAES.1975.308051        Google Scholar

6. Berni, A. J., "Target identification by natural resonant estimation," IEEE Trans. Aerospace Electron. Syst., Vol. 11, No. 2, 147-157, 1975.
doi:10.1002/andp.19083300302        Google Scholar

7. Mie, G., "Beitrage zur optik truber medien, speziell kolloider metallosungen," Annalen der Physik, Vol. 4, No. 25, 377-445, 1908.        Google Scholar

8. Hey, J. S., G. S. Stewart, J. T. Pinson, and P. E. V. Prince, "The scattering of electromagnetic waves by conducting spheres and discs," Proc. Phys. Soc. B, Vol. 69, 1038, 1956.
doi:10.1109/TAP.2006.886510        Google Scholar

9. Lui, H. and N. V. Shuley, "Radar target identification using a banded E-pulse technique," IEEE Trans. Antennas Propag., Vol. 54, No. 12, 3874-3881, 2006.
doi:10.1049/iet-map.2009.0382        Google Scholar

10. Harmer, S. W., D. A. Andrews, N. D. Rezgui, and N. J. Bowring, "Detection of handguns by their complex natural resonant frequencies," IET Microw. Antennas Propag., Vol. 4, No. 9, 1182-1190, Sep. 2010.
doi:10.2528/PIER07041602        Google Scholar

11. Chauveau, J., N. de Beaucoudrey, and J. Saillard, "Characterization of perfectly conducting targets in resonance domain with their quality of resonance," Progress In Electromagnetics Research, Vol. 74, 69-84, 2007.
doi:10.1109/PROC.1965.4068        Google Scholar

12. Kennaugh, E. M. and D. L. Moffatt, "Transient and impulse response approximations," Proceedings of the IEEE, Vol. 53, 893-901, Aug. 1965.
doi:10.1109/TAES.1976.308260        Google Scholar

13. Chuang, C. W. and D. L. Moffatt, "Natural resonances of radar targets via Prony's method and target discrimination," IEEE Trans. Aero. and Elect. Sys., Vol. 12, No. 5, 583-589, 1976.
doi:10.1109/5.104223        Google Scholar

14. Baum, C. E., E. J. Rothwell, K. M. Chen, et al. "The singularity expansion method and its application to target identification," Proc. IEEE, Vol. 79, No. 10, 1481-1492, 1991.
doi:10.1049/iet-rsn.2008.0112        Google Scholar

15. Secmen, M. and G. Turhan-Sayan, "Radar target classification method with reduced aspect dependency and improved noise performance using multiple signal classification algorithm," IET Radar, Sonar and Navig., Vol. 3, No. 6, 583-595, 2009.
doi:10.1109/8.18710        Google Scholar

16. Hua, Y. and T. K. Sarkar, "Generalized pencil-of-function method for extracting poles of an EM system from its transient response," IEEE Trans. Antennas Propag., Vol. 37, No. 2, 229-234, 1989.
doi:10.1109/TAP.2002.807947        Google Scholar

17. Bray, M. G., D. H.Werner, D. W. Boeringer, and D. W. Machuga, "Optimization of thinned aperiodic linear phased arrays using genetic algorithms to reduce grating lobes during scanning," IEEE Trans. Antennas Propag., Vol. 50, No. 12, 1732-1742, Dec. 2002.
doi:10.1109/PROC.1973.8997        Google Scholar

18. Richter, J. H. and D. R. Jensen, "Radar cross-section measurements of insects," Proc. IEEE, Vol. 6, 143-144, 1973.        Google Scholar

19. Wilton, D. R. and K. R. Umashankar, "Parametric study of an L-shaped wire using thesingularity expansion method,", Interaction Notes, Note 152, Air Force Weapons Laboratory, 1973.        Google Scholar

20. Baum, C. E., "Concerning the identification of buried dielectric targets,", Interaction Notes, Note 504, Philips Laboratory, Jul. 24, 1994.        Google Scholar

21. Baum, C. E., "Combining polarimetry with SEM in radar backscattering for target identification,", Interaction Notes, Note 585, Air Force Weapons Laboratory, May 23, 2003.
doi:10.1109/5.104223        Google Scholar

22. Baum, C. E., et al. "The singularity expansion method and its application to target identification," Proc. IEEE, 1481-1492, 1991.        Google Scholar