Vol. 99
Latest Volume
All Volumes
PIERM 130 [2024] PIERM 129 [2024] PIERM 128 [2024] PIERM 127 [2024] PIERM 126 [2024] PIERM 125 [2024] PIERM 124 [2024] PIERM 123 [2024] PIERM 122 [2023] PIERM 121 [2023] PIERM 120 [2023] PIERM 119 [2023] PIERM 118 [2023] PIERM 117 [2023] PIERM 116 [2023] PIERM 115 [2023] PIERM 114 [2022] PIERM 113 [2022] PIERM 112 [2022] PIERM 111 [2022] PIERM 110 [2022] PIERM 109 [2022] PIERM 108 [2022] PIERM 107 [2022] PIERM 106 [2021] PIERM 105 [2021] PIERM 104 [2021] PIERM 103 [2021] PIERM 102 [2021] PIERM 101 [2021] PIERM 100 [2021] PIERM 99 [2021] PIERM 98 [2020] PIERM 97 [2020] PIERM 96 [2020] PIERM 95 [2020] PIERM 94 [2020] PIERM 93 [2020] PIERM 92 [2020] PIERM 91 [2020] PIERM 90 [2020] PIERM 89 [2020] PIERM 88 [2020] PIERM 87 [2019] PIERM 86 [2019] PIERM 85 [2019] PIERM 84 [2019] PIERM 83 [2019] PIERM 82 [2019] PIERM 81 [2019] PIERM 80 [2019] PIERM 79 [2019] PIERM 78 [2019] PIERM 77 [2019] PIERM 76 [2018] PIERM 75 [2018] PIERM 74 [2018] PIERM 73 [2018] PIERM 72 [2018] PIERM 71 [2018] PIERM 70 [2018] PIERM 69 [2018] PIERM 68 [2018] PIERM 67 [2018] PIERM 66 [2018] PIERM 65 [2018] PIERM 64 [2018] PIERM 63 [2018] PIERM 62 [2017] PIERM 61 [2017] PIERM 60 [2017] PIERM 59 [2017] PIERM 58 [2017] PIERM 57 [2017] PIERM 56 [2017] PIERM 55 [2017] PIERM 54 [2017] PIERM 53 [2017] PIERM 52 [2016] PIERM 51 [2016] PIERM 50 [2016] PIERM 49 [2016] PIERM 48 [2016] PIERM 47 [2016] PIERM 46 [2016] PIERM 45 [2016] PIERM 44 [2015] PIERM 43 [2015] PIERM 42 [2015] PIERM 41 [2015] PIERM 40 [2014] PIERM 39 [2014] PIERM 38 [2014] PIERM 37 [2014] PIERM 36 [2014] PIERM 35 [2014] PIERM 34 [2014] PIERM 33 [2013] PIERM 32 [2013] PIERM 31 [2013] PIERM 30 [2013] PIERM 29 [2013] PIERM 28 [2013] PIERM 27 [2012] PIERM 26 [2012] PIERM 25 [2012] PIERM 24 [2012] PIERM 23 [2012] PIERM 22 [2012] PIERM 21 [2011] PIERM 20 [2011] PIERM 19 [2011] PIERM 18 [2011] PIERM 17 [2011] PIERM 16 [2011] PIERM 14 [2010] PIERM 13 [2010] PIERM 12 [2010] PIERM 11 [2010] PIERM 10 [2009] PIERM 9 [2009] PIERM 8 [2009] PIERM 7 [2009] PIERM 6 [2009] PIERM 5 [2008] PIERM 4 [2008] PIERM 3 [2008] PIERM 2 [2008] PIERM 1 [2008]
2020-12-01
Resonance Based Discrimination of Stealth Targets Coated with Radar Absorbing Material (RAM)
By
Progress In Electromagnetics Research M, Vol. 99, 69-79, 2021
Abstract
For the first time, a real sized complex target that is coated with an absorber material is discriminated from the uncoated one using an aspect independent discrimination method based on natural resonances. This resonance based technique provides a real-time, accurate and aspect independent solution for stealth target discrimination. First, the discrimination is studied for a complex shaped aircraft of electrical size 1.5λ. The Perfectly Electrically Conducting (PEC) target is coated uniformly with sintered nickel-zinc-ferrite, a magnetic Radar Absorbing Material (RAM) with complex dielectric and magnetic properties. The resonant range Radar Cross Section (RCS) of the aircraft for different coating thicknesses is computed using the Method of Moments (MoM). The resonances contained in the RCS are extracted using the vector fitting method, and the dominant resonances representing the target are determined by applying the power criteria. The variation in the pole placements with the increasing coating thickness is also studied. A one number quantifier of discrimination --- ``Risk'' in dB is defined to express the amount of mismatch between the compared targets. Further, the discrimination technique is also studied for an aircraft of electrical length, 7λ. A Risk value of 2 dB and more is obtained in this study at all aspects. This demonstrates the capability of the algorithm to discriminate between targets of identical structure but with different material compositions.
Citation
Sathyamurthy Anuradha, and Jyothi Balakrishnan, "Resonance Based Discrimination of Stealth Targets Coated with Radar Absorbing Material (RAM)," Progress In Electromagnetics Research M, Vol. 99, 69-79, 2021.
doi:10.2528/PIERM20101001
References

1. Zaker, R. and A. Sadeghzadeh, "Passive techniques for target radar cross section reduction: A comprehensive review," International Journal of RF and Microwave Computer-Aided Engineering, Vol. 30, 2020, https://doi.org/10.1002/mmce.22411.
doi:10.1002/mmce.22411

2. Sengupta, S., H. Council, D. R. Jackson, and D. Onofrei, "Active radar cross section reduction of an object using microstrip antennas," Radio Science, Vol. 55, 2020, https://doi.org/10.1029/2019RS006939.
doi:10.1029/2019RS006939

3. Knott, E. F., J. F. Schaeffer, and M. T. Tuley, "Radar cross section," SciTech, 2004.

4. Zikidis, K., A. Skondras, and C. Tokas, "Low observable principles, stealth aircraft and anti-stealth technologies," Journal of Computations & Modelling, Vol. 4, No. 1, 129-165, 2014, ISSN: 1792-7625 (print), 1792-8850 (online), Scienpress Ltd., 2014.

5. Baum, C. E., E. J. Rothwell, Y. F. Chen, and D. P. Nyquist, "The singularity expansion method and its application to target identification," Proceedings of the IEEE, Vol. 79, No. 10, 1481-1492, Oct. 1991.
doi:10.1109/5.104223

6. Anuradha, S. and J. Balakrishnan, "Discrimination of closely resembling PEC targets based on natural resonant frequencies," IEEE-MTT International Microwave And RF Conference (IMARC), Bengaluru, Dec. 2014.

7. Anuradha, S. and J. Balakrishnan, "Resonance based discrimination of targets with minor structural variations," 2016 Asia-Pacific Microwave Conference (APMC), New Delhi, 2016.

8. Anuradha, S. and J. Balakrishnan, "Radar target discrimination of real size aircraft with minor structural variations: Challenges and solutions," Progress In Electromagnetics Research C, Vol. 102, 139-148, 2020.
doi:10.2528/PIERC20031805

9. Luiza de, C. F., M. A. Alves, and M. C. Rezende, "Microwave absorbing paints and sheets based on carbonyl iron and polyaniline: measurement and simulation of their properties," Journal of Aerospace Technology and Management, Vol. 2, No. 1, 63-70, 2010.
doi:10.5028/jatm.2010.02016370

10. Rao, S. M., C.-C. Cha, R. L. Cravey, and D. L. Wilkes, "Electromagnetic scattering from arbitrary shaped conducting bodies coated with lossy materials of arbitrary thickness," IEEE Transactions on Antennas and Propagation, Vol. 39, 627-631, May 1991.
doi:10.1109/8.81490

11. Analoui, M. and Y. Kagawa, "Electromagnetic scattering from conductor-coated material bodies," International Journal of Numerical Modelling: Electronic Networks, Devices and Fields, Vol. 4, No. 4, 287-299, 1991.
doi:10.1002/jnm.1660040404

12. Howell, W. E. and H. Uberall, "Complex frequency poles of radar scattering from coated conducting spheres," IEEE Transactions on Antennas and Propagation, Vol. 32, No. 6, 624-627, Jun. 1984.
doi:10.1109/TAP.1984.1143382

13. Vollmer, H. and E. J. Rothwell, "Resonance series representation of the early-time field scattered by a coated cylinder," IEEE Transactions on Antennas and Propagation, Vol. 52, No. 8, 2186-2190, Aug. 2004.
doi:10.1109/TAP.2004.832331

14. Wierzba, J. F. and E. J. Rothwell, "E-pulse diagnostics of curved coated conductors with varying thickness and curvature," IEEE Transactions on Antennas and Propagation, Vol. 54, No. 9, 2672-2676, Sept. 2006.
doi:10.1109/TAP.2006.880786

15. Rothwell, E. J. and G. D. Dester, "E-pulse diagnostics of a coated conductor using a nonplanar interrogation field," IEEE Transactions on Antennas and Propagation, Vol. 57, No. 2, 587-590, Feb. 2009.
doi:10.1109/TAP.2008.2011409

16. Chantasen, N., A. Boonpoonga, and S. Burintramart, "Radar target identification of coated object using Cauchy method," IEEE Conference on Antenna Measurements & Applications (CAMA)-2015, 1-3, Chiang Mai, 2015.

17. Chauveau, J., N. de Beaucoudrey, and J. Saillard, "Modification of resonance poles of a conducting target by a dielectric coating," 2007 European Radar Conference, 440-443, Munich, 2007.
doi:10.1109/EURAD.2007.4405032

18. Gustavsen, B. and A. Semlyen, "Rational approximation of frequency domain responses by vector fitting," IEEE Trans. Power Delivery, Vol. 14, No. 3, 1052-1061, Jul. 1999.
doi:10.1109/61.772353

19. FEKO Suite 7 User Manual, EM Software and Systems (EMSS), 2014.

20. Raju, A. U., "Radar cross section (RCS) analysis of complex shaped radar absorbing material (RAM) coated bodies,", Bengaluru, May 2013 (Thesis).

21. Kolanowska, A., D. Janas, A. P. Herman, R. G. Jerysiak, T. Gizwski, and S. Boncel, "From blackness to invisibility - Carbon nanotubes role in the attenuation of and shielding from radio waves for stealth technology," Carbon, Vol. 126, 31-52, 2018, ISSN 0008-6223, https://doi.org/10.1016/j.carbon.2017.09.078.
doi:10.1016/j.carbon.2017.09.078