Vol. 102
Latest Volume
All Volumes
PIERC 142 [2024] PIERC 141 [2024] PIERC 140 [2024] PIERC 139 [2024] PIERC 138 [2023] PIERC 137 [2023] PIERC 136 [2023] PIERC 135 [2023] PIERC 134 [2023] PIERC 133 [2023] PIERC 132 [2023] PIERC 131 [2023] PIERC 130 [2023] PIERC 129 [2023] PIERC 128 [2023] PIERC 127 [2022] PIERC 126 [2022] PIERC 125 [2022] PIERC 124 [2022] PIERC 123 [2022] PIERC 122 [2022] PIERC 121 [2022] PIERC 120 [2022] PIERC 119 [2022] PIERC 118 [2022] PIERC 117 [2021] PIERC 116 [2021] PIERC 115 [2021] PIERC 114 [2021] PIERC 113 [2021] PIERC 112 [2021] PIERC 111 [2021] PIERC 110 [2021] PIERC 109 [2021] PIERC 108 [2021] PIERC 107 [2021] PIERC 106 [2020] PIERC 105 [2020] PIERC 104 [2020] PIERC 103 [2020] PIERC 102 [2020] PIERC 101 [2020] PIERC 100 [2020] PIERC 99 [2020] PIERC 98 [2020] PIERC 97 [2019] PIERC 96 [2019] PIERC 95 [2019] PIERC 94 [2019] PIERC 93 [2019] PIERC 92 [2019] PIERC 91 [2019] PIERC 90 [2019] PIERC 89 [2019] PIERC 88 [2018] PIERC 87 [2018] PIERC 86 [2018] PIERC 85 [2018] PIERC 84 [2018] PIERC 83 [2018] PIERC 82 [2018] PIERC 81 [2018] PIERC 80 [2018] PIERC 79 [2017] PIERC 78 [2017] PIERC 77 [2017] PIERC 76 [2017] PIERC 75 [2017] PIERC 74 [2017] PIERC 73 [2017] PIERC 72 [2017] PIERC 71 [2017] PIERC 70 [2016] PIERC 69 [2016] PIERC 68 [2016] PIERC 67 [2016] PIERC 66 [2016] PIERC 65 [2016] PIERC 64 [2016] PIERC 63 [2016] PIERC 62 [2016] PIERC 61 [2016] PIERC 60 [2015] PIERC 59 [2015] PIERC 58 [2015] PIERC 57 [2015] PIERC 56 [2015] PIERC 55 [2014] PIERC 54 [2014] PIERC 53 [2014] PIERC 52 [2014] PIERC 51 [2014] PIERC 50 [2014] PIERC 49 [2014] PIERC 48 [2014] PIERC 47 [2014] PIERC 46 [2014] PIERC 45 [2013] PIERC 44 [2013] PIERC 43 [2013] PIERC 42 [2013] PIERC 41 [2013] PIERC 40 [2013] PIERC 39 [2013] PIERC 38 [2013] PIERC 37 [2013] PIERC 36 [2013] PIERC 35 [2013] PIERC 34 [2013] PIERC 33 [2012] PIERC 32 [2012] PIERC 31 [2012] PIERC 30 [2012] PIERC 29 [2012] PIERC 28 [2012] PIERC 27 [2012] PIERC 26 [2012] PIERC 25 [2012] PIERC 24 [2011] PIERC 23 [2011] PIERC 22 [2011] PIERC 21 [2011] PIERC 20 [2011] PIERC 19 [2011] PIERC 18 [2011] PIERC 17 [2010] PIERC 16 [2010] PIERC 15 [2010] PIERC 14 [2010] PIERC 13 [2010] PIERC 12 [2010] PIERC 11 [2009] PIERC 10 [2009] PIERC 9 [2009] PIERC 8 [2009] PIERC 7 [2009] PIERC 6 [2009] PIERC 5 [2008] PIERC 4 [2008] PIERC 3 [2008] PIERC 2 [2008] PIERC 1 [2008]
2020-05-25
Radar Target Discrimination of Real Size Aircraft with Minor Structural Variations: Challenges and Solutions
By
Progress In Electromagnetics Research C, Vol. 102, 139-148, 2020
Abstract
A novel aspect independent resonance based radar target discrimination method has been developed in a previous work, and is found to be effective in discriminating canonical shape closely resembling objects with minor structural variations. The method utilizes the Radar Cross Section (RCS) of the unknown target to be identified and the distinction polynomial stored in the database (built from the dominant resonances of the known target). In this paper, the method is implemented successfully to discriminate two real size F5 aircraft with minor structural variations between them. This study involving real size targets poses some challenges that are overcome in this paper. The foremost challenge is the accurate computation of resonance range RCS of electrically large sized target considered (> 10λ), which is computationally demanding. The second challenge is in selecting the dominant resonances (features) of the complex target, useful for discrimination, from a large set of resonances representing the target. The accuracy of the discrimination result is dictated by the accuracy with which the features of the targets are identified. This in turn is dependent on the accuracy with which RCS is determined. To achieve accurate results, the exact Computational Electromagnetic (CEM) method - the Method of Moments (MoM) is used for computing the RCS of real size aircraft. The procedure to choose an optimal number of dominant natural resonant frequencies (NRFs) from a pool of NRFs for real size complex target is presented in this paper. The discrimination quantifying function `Risk' is shown to be effective in discriminating F5 aircraft - with and without missile attached underneath. The two targets have been successfully discriminated at all aspects, which is yet another challenge, establishing the aspect independent discrimination capability of the technique.
Citation
Sathyamurthy Anuradha, and Jyothi 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
References

1. 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.

2. Anuradha, S. and J. Balakrishnan, "Resonance based discrimination of targets with minor structural variations," 2016 Asia-Pacific Microwave Conference (APMC), 1-5, New Delhi, doi: 10.1109/APMC.2016.7931379, 2016.

3. Baum, C. E., "On the singularity expansion method for the solution of electromagnetic interaction problems,", Interaction Notes, 1971.

4. Lui, H. S. and N. V. Shuley, "Radar target identification using a “Banded” E-pulse technique," IEEE Transactions on Antennas and Propagation, Vol. 54, No. 12, 3874-3881, Dec. 2006.
doi:10.1109/TAP.2006.886510

5. Lee, J. H. and H. T. Kim, "Radar target discrimination using transient response reconstruction," Journal of Electromagnetic Waves and Applications, Vol. 19, No. 5, 655-669, Apr. 2005.
doi:10.1163/1569393053305062

6. Morales, J. D., D. Blanco, D. P. Ruiz, and M. C. Carrion, "Radar-target identification via exponential extinction-pulse synthesis," IEEE Transactions on Antennas and Propagation, Vol. 55, No. 7, Jul. 2007.

7. Morales, J. D., D. Blanco, D. P. Ruiz, and M. C. Carrion, "Non cooperative radar target identification using exponential single-mode extraction pulse," IEEE Transactions on Antennas and Propagation, Vol. 59, No. 6, 2064-2072, Jun. 2011.
doi:10.1109/TAP.2011.2143678

8. Chen, W. C. and N. V. Shuley, "Resonance based radar target identification using principal component analysis," 2008 Asia-Pacific Microwave Conference, 2008.

9. Gallego, A., M. C. Carrion, D. P. Ruiz, and A. Medouri, "Extended E-pulse technique for discrimination of conducting spheres," IEEE Transactions on Antennas and Propagation, Vol. 41, No. 10, 1460-1462, Oct. 1993.
doi:10.1109/8.247788

10. 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:10.2528/PIER02100201

11. Baev, A., Y. Kuznetsov, and A. Aleksandrov, "Ultra wideband radar target discrimination using the signatures algorithm," 2003 33rd European Microwave Conference, 987-990, Munich, Germany, 2003.

12. Rothwell, E., D. Nyquist, K.-M. Chen, and B. Drachman, "Radar target discrimination using the extinction-pulse technique," IEEE Transactions on Antennas and Propagation, Vol. 33, No. 9, 929-937, Sep. 1985.
doi:10.1109/TAP.1985.1143697

13. Rajalakshmi Menon, K., "Application of high frequency natural resonances extracted from electromagnetic scattering response for discrimination of radar targets with minor variations,", Thesis: IISc, 2001.

14. Sarkar, T. K. and O. Pereira, "Using the matrix pencil method to estimate the parameters of a sum of complex exponentials," IEEE Antennas and Propagation Magazine, Vol. 37, No. 1, 48-55, Feb. 1995, doi: 10.1109/74.370583.
doi:10.1109/74.370583

15. 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

16. Lin, M.-C. and Y.-W. Kiang, "Target discrimination using multiple-frequency amplitude returns," IEEE Trans. Antennas and Propagation, Vol. 38, No. 11, 1885-1889, Nov. 1990.

17. "FEKO. Software of electromagnetic simulation,", [Online] Available: https://altairhyperworks-.com/product/FEKO.

18. Upendra Raju, A. and J. Balakrishnan, "Performance analysis of CEM techniques for prediction of RCS of a complex shaped body," International Journal of Applied Engineering Research (IJAER), Vol. 7, No. 4, 411-420, 2012.

19. Anuradha, S., G. U. Varalakshmi, and J. Balakrishnan, "Discrimination of complex radar targets using the dominant poles determined in the time and frequency domains," IETE Journal of Research, 2019, DOI: 10.1080/03772063.2019.1565953.