A local shape function (LSF) method for time-domain inverse scattering

2002 ◽  
Author(s):  
W.H. Weedon ◽  
W.C. Chew
Keyword(s):  
Inverse Scattering ◽  
Time Domain ◽  
Shape Function ◽  
Local Shape

Parallel Processing of Forward-backward Time-stepping Method for Time Domain Inverse Scattering

PIERS Online ◽  
2008 ◽  
Vol 4 (6) ◽  
pp. 695-700 ◽  
Author(s):  
Toshifumi Moriyama ◽  
Yuji Yamaguchi ◽  
Kismet Anak Hong Ping ◽  
Toshiyuki Tanaka ◽  
Takashi Takenaka
Keyword(s):  
Parallel Processing ◽  
Inverse Scattering ◽  
Time Domain ◽  
Time Stepping

An algorithm for forward and inverse scattering in time domain

1995 ◽  
Vol 97 (4) ◽  
pp. 2021-2027
Author(s):  
Raadhakrishnan Poovendran ◽  
John E. Dorband ◽  
Andrew E. Yagle
Keyword(s):  
Inverse Scattering ◽  
Time Domain

An inverse scattering method in time-domain electromagnetics

1981 ◽  
Vol 59 (10) ◽  
pp. 1348-1353
Author(s):  
Sujeet K. Chaudhuri
Keyword(s):  
Inverse Scattering ◽  
Time Domain ◽  
Random Noise ◽  
Power Series Expansion ◽  
Inverse Scattering Method ◽  
Wave Number ◽  
Moment Condition ◽  
Scattering Method ◽  
Fourth Moment ◽  
Rayleigh Coefficient

An inverse scattering model, based on the time-domain concepts of electromagnetic theory is developed. Using the first five (zeroth to fourth) moment condition integrals, the Rayleigh coefficient and the next higher order nonzero coefficient of the power series expansion in k (wave number) of the object backscattering response are recovered. The Rayleigh coefficient and the other coefficient thus recovered are used (with the ellipsoidal assumption for the object shape) to determine the dimensions and orientation of the object.Some numerical results of the application of this coefficient recovery technique to conducting ellipsoidal scatterers are presented. The performance of the software system in the presence of normally distributed random noise is also studied.

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