A Fast MoM Solver (GIFFT) for Large Arrays of Microstrip and Cavity-Backed Antennas [electronic resource]

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Bibliographic Details
Online Access: Online Access (via OSTI)
Corporate Author: Lawrence Berkeley National Laboratory (Researcher)
Format: Government Document Electronic eBook
Language:English
Published: Washington, D.C. : Oak Ridge, Tenn. : United States. Department of Energy. ; distributed by the Office of Scientific and Technical Information, U.S. Department of Energy, 2005.
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MARC

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245 0 2 |a A Fast MoM Solver (GIFFT) for Large Arrays of Microstrip and Cavity-Backed Antennas  |h [electronic resource] 
260 |a Washington, D.C. :  |b United States. Department of Energy. ;  |a Oak Ridge, Tenn. :  |b distributed by the Office of Scientific and Technical Information, U.S. Department of Energy,  |c 2005. 
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500 |a Published through SciTech Connect. 
500 |a 02/02/2005. 
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500 |a Presented at: IEEE AP-S International Symposium and USNC/URSI National Radio Science Meeting, Washington, DC, United States, Jul 03 - Jul 08, 2005. 
500 |a Fasenfest, B J; Capolino, F; Wilton, D. 
520 3 |a A straightforward numerical analysis of large arrays of arbitrary contour (and possibly missing elements) requires large memory storage and long computation times. Several techniques are currently under development to reduce this cost. One such technique is the GIFFT (Green's function interpolation and FFT) method discussed here that belongs to the class of fast solvers for large structures. This method uses a modification of the standard AIM approach [1] that takes into account the reusability properties of matrices that arise from identical array elements. If the array consists of planar conducting bodies, the array elements are meshed using standard subdomain basis functions, such as the RWG basis. The Green's function is then projected onto a sparse regular grid of separable interpolating polynomials. This grid can then be used in a 2D or 3D FFT to accelerate the matrix-vector product used in an iterative solver [2]. The method has been proven to greatly reduce solve time by speeding up the matrix-vector product computation. The GIFFT approach also reduces fill time and memory requirements, since only the near element interactions need to be calculated exactly. The present work extends GIFFT to layered material Green's functions and multiregion interactions via slots in ground planes. In addition, a preconditioner is implemented to greatly reduce the number of iterations required for a solution. The general scheme of the GIFFT method is reported in [2]; this contribution is limited to presenting new results for array antennas made of slot-excited patches and cavity-backed patch antennas. 
536 |b W-7405-ENG-48. 
650 7 |a Antennas.  |2 local. 
650 7 |a Interpolation.  |2 local. 
650 7 |a Matrices.  |2 local. 
650 7 |a Modifications.  |2 local. 
650 7 |a Polynomials.  |2 local. 
650 7 |a Numerical Analysis.  |2 local. 
650 7 |a Storage.  |2 local. 
650 7 |a Engineering.  |2 edbsc. 
710 2 |a Lawrence Berkeley National Laboratory.  |4 res. 
710 1 |a United States.  |b Department of Energy.  |4 spn. 
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