DocumentCode :
246670
Title :
Fast solution of electromagnetic scattering problems with multiple excitations using the recompressed adaptive cross approximation
Author :
Kazempour, Mahdi ; Gurel, Levent
Author_Institution :
Bilkent Univ. Comput. Electromagn. Res. Center (BiLCEM), Ankara, Turkey
fYear :
2014
fDate :
6-11 July 2014
Firstpage :
745
Lastpage :
746
Abstract :
We present an algebraic compression technique to accelerate the computation of multiple monostatic radar cross sections of arbitrary 3-D geometries. The method uses adaptive cross approximation, followed by a recompression technique to reduce the CPU time and the memory consumption. Each scattering problem due to a single excitation is solved with the multilevel fast multipole algorithm. The numerical results demonstrate the efficiency and accuracy of the proposed method.
Keywords :
algebra; approximation theory; data compression; electromagnetic wave scattering; radar cross-sections; CPU time reduction; algebraic compression technique; arbitrary 3D geometry; electromagnetic scattering problems; memory consumption; multilevel fast multipole algorithm; multiple excitations; multiple monostatic radar cross sections; recompressed adaptive cross approximation technique; single excitation; Acceleration; Geometry; Interpolation; MLFMA; Matrix decomposition; Radar cross-sections;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Antennas and Propagation Society International Symposium (APSURSI), 2014 IEEE
Conference_Location :
Memphis, TN
ISSN :
1522-3965
Print_ISBN :
978-1-4799-3538-3
Type :
conf
DOI :
10.1109/APS.2014.6904702
Filename :
6904702
Link To Document :
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