DocumentCode :
1469197
Title :
Scattering from planar structures containing small features using the adaptive integral method (AIM)
Author :
Bindiganavale, Sunil S. ; Volakis, John L. ; Anastassiu, Hristos
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI, USA
Volume :
46
Issue :
12
fYear :
1998
fDate :
12/1/1998 12:00:00 AM
Firstpage :
1867
Lastpage :
1878
Abstract :
Fast integral equation algorithms such as the adaptive integral method (AIM) have been demonstrated to reduce memory and execution time associated with moment-method solutions for arbitrarily shaped three-dimensional (3-D) geometries. In this paper, we examine the efficiency of AIM in modeling planar structures that contain small and intricate details as is the case with spirals and slot antennas. Such geometries require high tessellation due to the inclusion of very small features resulting in a large number of unknowns. AIM with its capability to translate the original grid to an equivalent sparser uniform grid is uniquely suited for the analysis of such geometries. In the latter part of the paper, we demonstrate the application of AIM in connection with a finite-element boundary-integral formulation for cavity-backed antennas
Keywords :
boundary integral equations; electromagnetic wave scattering; finite element analysis; slot antennas; spiral antennas; 3D geometries; adaptive integral method; cavity-backed antennas; efficiency; execution time reduction; fast integral equation algorithms; finite-element boundary-integral; memory reduction; moment-method solutions; planar structures scattering; slot antennas; small features; spirals; uniform grid; Acceleration; Central Processing Unit; Finite element methods; Geometry; Integral equations; Iterative methods; Scattering; Slot antennas; Spirals; Transmission line matrix methods;
fLanguage :
English
Journal_Title :
Antennas and Propagation, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-926X
Type :
jour
DOI :
10.1109/8.743831
Filename :
743831
Link To Document :
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