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Title:Hybridization of the finite element method and the shooting-and-bouncing ray method for scattering and radiation from large and complex targets
Author(s):Ni, Sean Sze-Shun
Doctoral Committee Chair(s):Jin, Jianming
Department / Program:Electrical and Computer Engineering
Discipline:Electrical Engineering
Degree Granting Institution:University of Illinois at Urbana-Champaign
Subject(s):Engineering, Electronics and Electrical
Abstract:Many low-frequency and high-frequency techniques exist for the solution of scattering and radiation problems. In this thesis, a hybrid method combining the finite-element method (FEM) and the shooting-and-bouncing-ray (SBR) method is introduced for scattering and radiation problems from large and complex targets with small cavities or microstrip patch antennas. By combining the two methods, the advantages of each method are retained, while the disadvantages of each method are avoided. Specifically, the speed and efficiency of the SBR method are retained for the analysis of large targets, while the accuracy of the FEM is retained for the analysis of the cavities and patch antennas.
The results from the two methods are not simply added together. With the equivalence principle, we are able to decouple the problem into two separate problems; and with the reciprocity theorem and the SBR algorithm, we are able to recombine the two results, including the multiple bounce contributions from both the incident and scattered fields.
Validation of the hybridization of the FEM and the SBR method is performed throughout this work. This is accomplished in two- and three-dimensional scatterings from large targets with small cavities or cracks, and in the radiation from microstrip patch antennas on large host bodies. By observing the validation of this technique, the applications of this method become obvious, and will aid in the analysis and prediction of scattering and radiation from large vehicles with small features.
Issue Date:1996
Rights Information:Copyright 1996 Ni, Sean Sze-Shun
Date Available in IDEALS:2011-05-07
Identifier in Online Catalog:AAI9625171
OCLC Identifier:(UMI)AAI9625171

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