DocumentCode :
3849508
Title :
Multiscale Compressed Block Decomposition for Fast Direct Solution of Method of Moments Linear System
Author :
Alex Heldring;Juan M. Rius;José M. Tamayo;Josep Parr?n;Eduard Ubeda
Author_Institution :
AntennaLab, Dept. of Signal Processing and Telecommunications, Universitat Politecnica de Catalunya, Barcelona, Spain
Volume :
59
Issue :
2
fYear :
2011
Firstpage :
526
Lastpage :
536
Abstract :
The multiscale compressed block decomposition algorithm (MS-CBD) is presented for highly accelerated direct (non iterative) solution of electromagnetic scattering and radiation problems with the method of moments (MoM). The algorithm is demonstrated to exhibit N2 computational complexity and storage requirements scaling with N1.5, for electrically large objects. Several numerical examples illustrate the efficiency of the method, in particular for problems with multiple excitation vectors. The largest problem presented in this paper is the monostatic RCS of the NASA almond at 50 GHz, for one thousand incidence angles, discretized using 442,089 RWG basis functions. Being entirely algebraic, MS-CBD is independent of the Greens function of the problem.
Keywords :
"Matrix decomposition","Impedance","Partitioning algorithms","Symmetric matrices","Moment methods","Iterative methods","Geometry"
Journal_Title :
IEEE Transactions on Antennas and Propagation
Publisher :
ieee
ISSN :
0018-926X
Type :
jour
DOI :
10.1109/TAP.2010.2096385
Filename :
5659467
Link To Document :
بازگشت