DocumentCode :
1392910
Title :
AIM Analysis of 3D PEC Problems Using Higher Order Hierarchical Basis Functions
Author :
Ben Lai ; Xiang An ; Hao-Bo Yuan ; Nan Wang ; Chang-Hong Liang
Author_Institution :
Nat. Key Lab. of Sci. & Technol. on Antennas & Microwaves, Xidian Univ., Xi´an, China
Volume :
58
Issue :
4
fYear :
2010
fDate :
4/1/2010 12:00:00 AM
Firstpage :
1417
Lastpage :
1421
Abstract :
An adaptive integral method (AIM) is described for higher order method of moments (MoM) solution of 3D PEC problems. The new method can efficiently deal with electrically large problems by taking the advantages of both the AIM in memory and computational costs and the higher order MoM in number of unknowns. It proposes a Gaussian points based projection procedure to make the algorithm suitable for large discretization elements. Numerical examples based on higher order hierarchical Legendre basis functions show excellent accuracy, flexibility and efficiency of the proposed technique, as well as the advantages over the existing higher order AIM in terms of memory and computational costs.
Keywords :
electromagnetic wave scattering; method of moments; 3D PEC problems; Gaussian points based projection procedure; adaptive integral method; computational costs; electrically large problems; hierarchical Legendre basis functions; higher order hierarchical basis functions; large discretization elements; memory costs; method of moments; Computational complexity; Computational efficiency; Electromagnetic scattering; Fast Fourier transforms; Kernel; Laboratories; MLFMA; Microwave antennas; Microwave technology; Millimeter wave communication; Millimeter wave technology; Moment methods; Polynomials; Scattering; Adaptive integral method (AIM); electromagnetic scattering; higher order hierarchical Legendre basis functions; method of moments (MoM);
fLanguage :
English
Journal_Title :
Antennas and Propagation, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-926X
Type :
jour
DOI :
10.1109/TAP.2010.2041153
Filename :
5395662
Link To Document :
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