Simulated image method for Green's function of multilayer media

1999 ◽  
Vol 47 (9) ◽  
pp. 1777-1781 ◽  
Author(s):  
A. Torabian ◽  
Y.L. Chow
Keyword(s):  
Green’S Function ◽  
Green's Function ◽  
Image Method ◽  
Simulated Image ◽  
Multilayer Media

Analysis of Microstrip Filter Circuit Based on Network Port Model of MOM

2013 ◽  
Vol 303-306 ◽  
pp. 1859-1863 ◽  
Author(s):  
Hong Wei Sun ◽  
Xiao Chun Wang
Keyword(s):  
Green’S Function ◽  
Green's Function ◽  
Network Theory ◽  
Image Method ◽  
Method Of Moment ◽  
Microstrip Filter ◽  
Numerical Result ◽  
Complex Image ◽  
Discrete Complex Image Method ◽  
Discrete Complex

By combining the method of moment (MoM) and the method of network analysis, we analyze the microstrip filter circuits. First, we deduce and calculate the closed form multilayered Green’s function by using the discrete complex image method. Then, we apply the multilayered Green’s function into the method of moment (MoM) and by using the multi-port network theory, we get the networks parameters. At last, the numerical result proves the method’s accuracy and validity.

Electromagnetic Scattering from Perfectly Conducting Periodic Rough Surfaces Using Improved Complex Images Method

2014 ◽  
Vol 989-994 ◽  
pp. 3777-3781
Author(s):  
Lin Li ◽  
Wen Chao Zheng
Keyword(s):  
Green’S Function ◽  
Green's Function ◽  
Electromagnetic Scattering ◽  
Image Method ◽  
Finite Series ◽  
Periodic Surfaces ◽  
Complex Image ◽  
Image Technique ◽  
Close Form ◽  
Complex Images

In this paper, an improved complex image method to derive closed form periodic Green’s function for problem of scattering from perfectly conducting periodic surfaces is considered. The complex image technique represents a close-form periodic Green’s function consisting of a finite series of real sources and two finite series of complex sources with complex locations and amplitudes. Then the integral equation with the complex images periodic Green’s function in the kernel is solved by the method of moments. Results and computational times obtained by this improved complex image method and the previous one are compared with those obtained by the spectral Kummer-Poisson’s method. Results show that the improved complex image method is more accurately than the previous one.

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