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Title: Efficient approach and application of the Green's functions in spatial domain in multilayered media
Authors: Zhang, M.
Li, L. 
Li, L.
Wu, Z.
Keywords: Discrete complex image method
Green's functions in spatial domain
Mixed potential integral equation
Multilayered media
Sommerfeld identity
Issue Date: Apr-2008
Citation: Zhang, M., Li, L., Li, L., Wu, Z. (2008-04). Efficient approach and application of the Green's functions in spatial domain in multilayered media. Science in China, Series F: Information Sciences 51 (4) : 394-407. ScholarBank@NUS Repository.
Abstract: Based on the dipole source method, all components of the Green's functions in spectral domain are restructured concisely by four basis functions, and in terms of the two-level discrete complex image method (DCIM) with the high order Sommerfeld identities, an efficient algorithm for closed-form Green's functions in spatial domain in multilayered media is presented. This new work enjoys the advantages of the surface wave pole extraction directly carried out by the generalized integral path without troubles of that all components of Green's function in spectral domain should be reformed respectively in transmission line network analogy, and then the Green's functions for mixed-potential integral equation (MPIE) analysis in both near-field and far-field in multilayered media are obtained. In addition, the curl operator for coupled field in MPIE is avoided conveniently. It is especially applicable and useful to characterize the electromagnetic scattering by, and radiation in the presence of, the electrically large 3-D objects in multilayered media. The numerical results of the S-parameters of a microstrip periodic bandgap (PBG) filter, the radar cross section (RCS) of a large microstrip antenna array, the characteristics of scattering, and radiation from the three-dimensional (3-D) targets in multilayered media are obtained, to demonstrate better effectiveness and accuracy of this technique. © 2008 Science in China Press.
Source Title: Science in China, Series F: Information Sciences
ISSN: 10092757
DOI: 10.1007/s11432-008-0025-1
Appears in Collections:Staff Publications

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