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2018-05-21
Enhanced Characteristic Basis Function Method for Solving the Monostatic Radar Cross Section of Conducting Targets
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Progress In Electromagnetics Research M, Vol. 68, 173-180, 2018
Abstract
In this paper, an enhanced characteristic basis function method (ECBFM) is proposed to calculate the monostatic radar cross section (RCS) of electrical large targets efficiently. The enhanced characteristic basis functions (ECBFs) are defined by combining improved primary-characteristic basis functions (IP-CBFs) with the first level improved secondary-characteristic basis functions (IS-CBFs) for each block. IS-CBFs are obtained by substituting IP-CBFs for PCBFs in Foldy-Lax multiple scattering equation in which mutual coupling effects among all blocks can be included systematically. As a result, a small number of incident plane waves (PWs) is sufficient when dealing withlarge scale targets. The numerical results demonstrate that the computational efficiency in this paper is much higher than that of the improved primary-characteristic basis function method (IP-CBFM) without losing any accuracy.
Citation
Jinyu Zhu, Yufa Sun, and Hongyu Fang, "Enhanced Characteristic Basis Function Method for Solving the Monostatic Radar Cross Section of Conducting Targets," Progress In Electromagnetics Research M, Vol. 68, 173-180, 2018.
doi:10.2528/PIERM18022703
References

1. Harrington, R. F., Field Computation by Moment Methods, IEEE Press, New York, 1993.
doi:10.1109/9780470544631

2. Song, J., C. C. Lu, and W. C. Chew, "Multilevel fast multipole algorithm for electromagnetic scattering by large complex objects," IEEE Trans. Antennas Propag., Vol. 45, No. 10, 1488-1493, 1997.
doi:10.1109/8.633855

3. Bleszynski, E., M. Bleszynski, and T. Jaroszewicz, "Adaptive integral method for solving large-scale electromagnetic scattering and radiation problems," Radio Science, Vol. 31, No. 5, 1225-1251, 1996.
doi:10.1029/96RS02504

4. Zhao, K., M. N. Vouvakis, and J. F. Lee, "The adaptive cross approximation algorithm for accelerated method of moments computations of EMC problems," IEEE Transactions on Electromagnetic Compatibility, Vol. 47, No. 4, 763-773, 2005.
doi:10.1109/TEMC.2005.857898

5. Kwon, S. J., K. Du, and R. Mittra, "Characteristic basis function method: A numerically efficient technique for analyzing microwave and RF circuits," Microwave & Optical Technology Letters, Vol. 38, No. 6, 444-448, 2003.
doi:10.1002/mop.11085

6. Pan, P. Q., "A projective simplex algorithm using LU decomposition," Computers & Mathematics with Applications, Vol. 39, No. 1, 187-208, 2000.
doi:10.1016/S0898-1221(99)00323-5

7. Lucente, E., A. Monorchio, and R. Mittra, "An iteration-free MoM approach based on excitation independent characteristic basis functions for solving large multiscale electromagnetic scattering problems," IEEE Trans. Antennas Propag., Vol. 56, No. 4, 999-1007, 2008.
doi:10.1109/TAP.2008.919166

8. Tanaka, T., Y. Inasawa, Y. Nishioka, and H. Miyashita, "Improved primary-characteristic basis function method for monostatic radar cross section analysis of specific coordinate plane," IEICE Transactions on Electronics, Vol. E99, No. 1, 28-35, 2016.
doi:10.1587/transele.E99.C.28

9. Tsang, L., C. E. Mandt, K. H. Ding, and V. F. T. Article, "Monte Carlo simulations of the extinction rate of dense media with randomly distributed dielectric spheres based on solution of Maxwell’s equations," Optics Letters, Vol. 17, No. 5, 314-316, 1992.
doi:10.1364/OL.17.000314

10. Sun, Y. F., C. H. Chan, and R. Mittra, "Characteristic basis function method for solving large problems arising in dense medium scattering," IEEE Antennas and Propagation Society International Symposium, Vol. 2, 1068-1071, 2003.

11. Bebendorf, M. and S. Kunis, "Recompression techniques for adaptive cross approximation," Journal of Integral Equations & Applications, Vol. 21, No. 2009, 331-357, 2007.

12. Seo, S. M. and J. F. Lee, "A single-level low rank IE-QR algorithm for PEC scattering problems using EFIE formulation," IEEE Trans. Antennas Propag., Vol. 52, No. 8, 2141-2146, 2004.
doi:10.1109/TAP.2004.832367

13. Burkholder, R. J. and J. F. Lee, "Fast dual-MGS block-factorization algorithm for dense MoM matrices," IEEE Trans. Antennas Propag., Vol. 52, No. 7, 1693-1699, 2004.
doi:10.1109/TAP.2004.831333