Efficient Iterative Physical Optics algorithm for electrically large scatterers

The Iterative Physical Optics (IPO) is an iterative high frequency technique, which was originally developed for analyzing the scattering from open-ended cavities with perfectly electrically conducting (PEC) walls (F. Obelleiro, J. L. Rodriguez, and R. J. Burkholder, IEEE Trans. Antennas Propag., vol. 43, no. 4, 356–361, 1995). Subsequently, it was extended to the case of impedance boundary conditions (F. Obelleiro, M. G. Araujo, and J. L. Rodriguez, Micro. Opt. Tech. Lett., vol. 28, no. 1, 21–26, 2001) and of dielectric thin slabs (R. Hemon, P. Pouliguen, H. He, J. Saillard, and J. F. Damiens, Progress In Electromagnetics Research, vol. 80, 77–105, 2008). More recently it was applied to compute the scattered field and the radar cross section of electrically large and realistic complex targets (R. J. Burkholder, C. Tokgoz, C. J. Reddy, and W. O. Coburn, Appl. Computational Electromagn. Soc. J., vol. 24, no. 2, 241–258, 2009), such as tanks, airplanes, etc. In its various formulations and applications, the authors made a strong effort in accelerating the converge of the IPO algorithm and also in investigating the possibility of parallelize it. Recently, in (C. Tokgoz and V. Venugopal, 2013 IEEE International Symposium on Antennas and Propagation and USNC-URSI National Radio Science Meeting, Orlando, Florida, USA, July 7–13, 2013) the authors also discuss the possibility of accelerating the computational burden of the IPO algorithm by using Graphics Processing Units (GPUs).