A Comparative Study of Opposition-Based Differential Evolution and Meta-Particle Swarm Optimization on Reconstruction of Three Dimensional Conducting Scatterers
关键词:
Differential evolution, inverse scattering, particle swarm optimization, physical optics approximation, rational Bezier surfaces摘要
In this paper, opposition-based differential evolution and Meta-particle swarm optimization is applied to reconstruct three dimensional conducting scatterers. Rational Bezier surfaces are utilized to model the shape of the scatterers. The mathematical representation of this surfaces are expanded in terms of Bernstein polynomials. The unknown coefficients of these polynomials depend on a few control points in space. An optimization method is used to find the location of the control points such that a specific measure of the difference between radar cross section (RCS) of the reconstructed and the original target is minimized. Physical optics (PO) approximation is used to find the RCS of a reconstructed scatterer in each iteration of the proposed algorithm. Simulation results show that these algorithms are very stable in the presence of noise.
##plugins.generic.usageStats.downloads##
参考
P. Kosmas and C. M. Rappaport, “An inverse scattering method based on contour deformation by meand of a level set method using frequency hopping technique,” IEEE Trans. Antennas Propagat., vol. 51, no. 5, pp. 1100-1113, May 2003.
L. Crocco, I. Catapano, L. Di Donato, and T. Isernia, “The linear sampling method as a way to quantitative inverse scattering,” IEEE Trans. Antennas Propagat., vol. 60, no. 4, pp. 1844- 1853, Apr. 2012.
P. Kosmas and C. M. Rappaport, “Time reversal with the fdtd method for microwave breast cancer detection,” IEEE Transactions on Microwave Theory and Techniques, vol. 53, no. 7, pp. 2317- 2323, July 2005.
I. T. Rekanos, “Shape reconstruction of a perfectly conducting scatterer using differential evolution and particle swarm optimization,” IEEE Trans. Geosci. Remote Sens., vol. 46, no. 7, pp. 1967-1974, July 2008.
A. Qing, C. K. Lee, and L. Jen, “Electromagnetic inverse scattering of two-dimensional perfectly conducting objects by real-coded genetic algorithm,” Geoscience and Remote Sensing, IEEE Transactions on, vol. 39, no. 3, pp. 665-676, Mar. 2001.
A. Saeedfar and K. Barkeshli, “Shape reconstruction of three-dimensional conducting curved plates using physical optics, nurbs modeling, and genetic algorithm,” IEEE Trans. Antennas Propagat., vol. 54, no. 9, pp. 2497-2507, Sept. 2006.
F. S. de Adana and O. Gutierrez, Practical Applications of Asymptotic Techniques in Electromagnetics. Artech House Electromagnetic Analysis Series, Artech House, 2010.
G. E. Farin, Curves and Surfaces for ComputerAided Geometric Aesign: A Practical Guide. Number v. 1 in Computer Science and Scientific Computing, Academic Press, 1997.
J. Perez and M. F. Catedra, “Application of physical optics to the rcs computation of bodies modeled with nurbs surfaces,” IEEE Trans. Antennas Propagat., vol. 42, no. 10, pp. 1404- 1411, Oct. 1994.
O. M. Conde, J. Perez, and M. P. Catedra, “Stationary phase method application for the analysis of radiation of complex 3-D conducting structures,” IEEE Trans. Antennas Propag., vol. 49, no. 5, pp. 724-731, May 2001.
F. S. de Adana, I. G. Diego, O. G. Blanco, P. Lozano, and M. F. Catedra, “Method based on physical optics for the computation of the radar cross section including diffraction and double effects of metallic and absorbing bodies modeled with parametric surfaces,” IEEE Trans. Antennas Propagat., vol. 52, no. 12, pp. 3295-3303, Dec. 2004.
S. Rahnamayan, H. R. Tizhoosh, and M. M. A. Salama, “Opposition-based differential evolution,” IEEE Transactions on Evolutionary Computation, vol. 12, no. 1, pp. 64-79, Feb. 2008.
S. Selleri, M. Mussetta, P. Pirinoli, R. E. Zich, and L. Matekovits, “Differentiated meta-pso methods for array optimization,” Antennas and Propagation, IEEE Transactions on, vol. 56, no. 1, pp. 67-75, Jan. 2008.
