DocumentCode :
2944805
Title :
Applications of periodic Accelerated Cartesian Expansions to the analysis of electrically dense frequency selective structures
Author :
Baczewski, A.D. ; Shanker, B.
Author_Institution :
Dept. of Electr. & Comput. Eng., Michigan State Univ., East Lansing, MI, USA
fYear :
2011
fDate :
3-8 July 2011
Firstpage :
2696
Lastpage :
2699
Abstract :
The method of Accelerated Cartesian Expansions (ACE) is an O(N) tree-based algorithm similar to the well-known Fast Multipole Method (FMM). Recent work has demonstrated the extension of this method to problems with periodic kernels, with a focus on demonstrating convergence with respect to the reconstruction of the Green´s function as well as linear scaling in the evaluation of potentials. In this work, the integration of the periodic ACE algorithm into a fast solver for the EFIE is demonstrated, including a discussion of algorithmic changes necessary to the construction of trees on periodic domains, its break-even point relative to direct methods, and a few token applications illustrating the analysis of frequency selective structures (FSS) with electrically dense unit cells. We conclude with a discussion of further extensions and applications that will be presented at the conference.
Keywords :
Green´s function methods; convergence; electromagnetic wave scattering; frequency selective surfaces; EFIE fast solver; Green´s function; convergence; electric field integral equations; electrically dense frequency selective structures; fast multipole method; periodic ACE algorithm; periodic accelerated Cartesian expansions; tree-based algorithm; Acceleration; Accuracy; Arrays; Frequency selective surfaces; Periodic structures; Transmission line matrix methods; Vegetation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Antennas and Propagation (APSURSI), 2011 IEEE International Symposium on
Conference_Location :
Spokane, WA
ISSN :
1522-3965
Print_ISBN :
978-1-4244-9562-7
Type :
conf
DOI :
10.1109/APS.2011.5997081
Filename :
5997081
Link To Document :
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