DocumentCode :
1249473
Title :
A Hybrid Approach for Rapid Computation of Two-Dimensional Monostatic Radar Cross Section Problems With the Multilevel Fast Multipole Algorithm
Author :
Schröder, Arne ; Brüns, Heinz-D ; Schuster, Christian
Author_Institution :
Inst. fur Theor. Elektrotechnik, Tech. Univ. Hamburg-Harburg, Hamburg, Germany
Volume :
60
Issue :
12
fYear :
2012
Firstpage :
6058
Lastpage :
6061
Abstract :
This communication proposes a hybrid acceleration technique for the efficient computation of large two-dimensional monostatic radar cross section (RCS) problems with the multilevel fast multipole algorithm (MLFMA) for three-dimensional scattering objects. The described approach combines a spectral low-rank preconditioner with an efficient angular response computation based on a low-rank compression of the right-hand side matrix. In this communication the low-rank decomposition is done using the adaptive cross approximation (ACA), since conventional approaches are hardly applicable to large excitation matrices. The proposed technique turns out to be highly efficient and accurate for the solution of large 2D monostatic RCS problems involving 3D geometries.
Keywords :
approximation theory; electromagnetic wave scattering; geometry; matrix decomposition; method of moments; radar cross-sections; spectral analysis; 2D monostatic radar cross section problem; 3D geometry; 3D scattering object; ACA; MLFMA; RCS; adaptive cross approximation; angular response computation; compression; hybrid acceleration technique; multilevel fast multipole algorithm; rank decomposition; right hand side matrix; spectral low rank preconditioner; Acceleration; Accuracy; Approximation methods; MLFMA; Matrix decomposition; Moment methods; Radar cross section; Adaptive cross approximation (ACA); method of moments (MoM); multilevel fast multipole algorithm (MLFMA); radar cross section (RCS);
fLanguage :
English
Journal_Title :
Antennas and Propagation, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-926X
Type :
jour
DOI :
10.1109/TAP.2012.2209858
Filename :
6247474
Link To Document :
بازگشت