Abstract
A Calderón preconditioner is developed for the analysis of electromagnetic scattering of perfect electrically conducting (PEC) objects embedded in a layered medium. The electric field integral equation (EFIE) is formulated with the kernel of layered medium Green's function to account for the effects from the multilayered background. The Calderón projector is derived based on the general source-field relationship and the extinction theorem for inhomogeneous environment in electromagnetic theory. The Calderón identities can be naturally deduced based on this projector, which is then leveraged to precondition the EFIE with layered kernel. An alternative implementation is then proposed to make the implementation of the preconditioner as efficient as the one in free space. Different numerical examples are designed to show the performance of the preconditioner, where the objects are located in different positions with respect to the layered medium, or different types of excitation are adopted. It is shown that the proposed effective and robust preconditioner makes the EFIE system converge rapidly in all cases, independent of the discretization density. © 1963-2012 IEEE.
Recommended Citation
Y. P. Chen et al., "A Calderón Preconditioner For The Electric Field Integral Equation With Layered Medium Green's Function," IEEE Transactions on Antennas and Propagation, vol. 62, no. 4, pp. 2022 - 2030, article no. 6701180, Institute of Electrical and Electronics Engineers, Jan 2014.
The definitive version is available at https://doi.org/10.1109/TAP.2013.2297396
Department(s)
Electrical and Computer Engineering
Keywords and Phrases
Calderón preconditioner; Calderón projector; electric field integral equation; layered medium Green's function; method of moments; numerical analysis; surface integral equations
International Standard Serial Number (ISSN)
0018-926X
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Institute of Electrical and Electronics Engineers, All rights reserved.
Publication Date
01 Jan 2014
Comments
National Science Foundation, Grant 61201002