DocumentCode
1294207
Title
Accelerated Source-Sweep Analysis Using a Reduced-Order Model Approach
Author
Bradley, Patrick ; Brennan, Conor ; Condon, Marissa ; Mullen, Marie
Author_Institution
RF Modelling & Simulation Group, Dublin City Univ., Dublin, Ireland
Volume
59
Issue
11
fYear
2011
Firstpage
4360
Lastpage
4363
Abstract
This communication is concerned with the development of a model-order reduction (MOR) approach for the acceleration of a source-sweep analysis using the volume electric field integral equation (EFIE) formulation. In particular, we address the prohibitive computational burden associated with the repeated solution of the two-dimensional electromagnetic wave scattering problem for source-sweep analysis. The method described within is a variant of the Krylov subspace approach to MOR, that captures at an early stage of the iteration the essential features of the original system. As such these approaches are capable of creating very accurate low-order models. Numerical examples are provided that demonstrate the speed-up achieved by utilizing these MOR approaches when compared against a method of moments (MoM) solution accelerated by use of the fast Fourier transform (FFT).
Keywords
electric field integral equations; electromagnetic wave scattering; fast Fourier transforms; iterative methods; method of moments; reduced order systems; Krylov subspace approach; MOR approach; accelerated source-sweep analysis; computational burden; fast Fourier transform; low order model; method of moment solution; model order reduction approach; reduced order model approach; two dimensional electromagnetic wave scattering problem; volume electric field integral equation; Acceleration; Approximation methods; Equations; Mathematical model; Moment methods; Position measurement; Scattering; Electromagnetic propagation; method of moments; projection algorithms;
fLanguage
English
Journal_Title
Antennas and Propagation, IEEE Transactions on
Publisher
ieee
ISSN
0018-926X
Type
jour
DOI
10.1109/TAP.2011.2164210
Filename
5979173
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