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

Volume

51

Issue

3

fYear

2003

fDate

3/1/2003 12:00:00 AM

Firstpage

613

Lastpage

618

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;

fLanguage

English

Journal_Title

Antennas and Propagation, IEEE Transactions on

Publisher

ieee

ISSN

0018-926X

Type

jour

DOI

10.1109/TAP.2003.808536

Filename

1201338