Title :
RCS computation of large inhomogeneous objects using a fast integral equation solver
Author :
Zhang, Zhong Qing ; Liu, Qing Huo ; Xu, Xue Min
Author_Institution :
Dept. of Electr. & Comput. Eng., Duke Univ., Durham, NC, USA
fDate :
3/1/2003 12:00:00 AM
Abstract :
In this paper, we apply a fast Fourier transform (FFT) accelerated volume integral equation solver to compute the radar cross section of large-scale inhomogeneous objects. This method is related to Bojarski´s k-space method and the subsequent conjugate-(CG) and biconjugate-gradient (BCG) FFT algorithms. The method developed here combines the weak-form discretization with the BCG and stabilized BCG (BCGS) solvers. We show that this method has marked improvements over related algorithms. The numerical method has been validated by Mie series for multilayer spheres and applied to some practical problems. With this method we are currently able to solve a three-dimensional problem with a volume of size 3648λ3 (21.23 million unknowns) on a single workstation.
Keywords :
Mie scattering; fast Fourier transforms; integral equations; radar cross-sections; Mie series; RCS computation; accelerated volume integral equation solver; biconjugate-gradient FFT algorithms; conjugate-gradient FFT algorithms; fast integral equation solver; large inhomogeneous objects; multilayer spheres; radar cross section; three-dimensional problem; weak-form discretization; Acceleration; Electromagnetic scattering; Fast Fourier transforms; Integral equations; Iterative methods; Large-scale systems; Mie scattering; Nonuniform electric fields; Radar cross section; Radar scattering;
Journal_Title :
Antennas and Propagation, IEEE Transactions on
DOI :
10.1109/TAP.2003.808536