Title :
Fast algorithm for electromagnetic scattering by buried 3-D dielectric objects of large size
Author :
Cui, Tie Jun ; Chew, Weng Cho
Author_Institution :
Dept. of Electr. & Comput. Eng., Illinois Univ., Urbana, IL, USA
fDate :
9/1/1999 12:00:00 AM
Abstract :
A fast algorithm for electromagnetic scattering by buried three dimensional (3-D) dielectric objects of large size is presented by using the conjugate gradient (CG) method and fast Fourier transform (FFT). In this algorithm, the Galerkin method is utilized to discretize the electric field integral equations, where rooftop functions are chosen as both basis and testing functions. Different from the 3-D objects in homogeneous space, the resulting matrix equation for the buried objects contains both cyclic convolution and correlation terms, either of which can be solved rapidly by the CG-FFT method. The near-scattered field on the observation plane in the upper space has been expressed by two-dimensional (2-D) discrete Fourier transforms (DFTs), which also can be rapidly computed. Because of the use of FFTs to handle the Toeplitz matrix, the Sommerfeld integrals´ evaluation which is time consuming yet essential for the buried object problem, has been reduced to a minimum. The memory required in this algorithm is of order N (the number of unknowns), and the computational complexity is of order NiterN log N, in which Niter is the iteration number, and Niter≪N is usually true for a large problem
Keywords :
Galerkin method; Toeplitz matrices; buried object detection; computational complexity; conjugate gradient methods; convolution; dielectric bodies; discrete Fourier transforms; electric field integral equations; electromagnetic wave scattering; radar detection; remote sensing by radar; 2-D discrete Fourier transforms; CG-FFT method; DFTs; Galerkin method; Sommerfeld integrals; Toeplitz matrix; buried 3-D dielectric objects; conjugate gradient method; correlation terms; cyclic convolution; electric field integral equations; electromagnetic scattering; fast Fourier transform; iteration; large size; matrix equation; near-scattered field; rooftop functions; Buried object detection; Character generation; Convolution; Dielectrics; Differential equations; Electromagnetic scattering; Fast Fourier transforms; Integral equations; Moment methods; Testing;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on