DocumentCode :
245048
Title :
Accelerating the Domain Green´s Function Method through adaptive cross approximation
Author :
Ludick, D.J. ; Maaskant, R. ; Davidson, D.B. ; Jakobus, Ulrich
Author_Institution :
Dept. Electr. & Electron. Eng., Univ. Stellenbosch, Stellenbosch, South Africa
fYear :
2014
fDate :
3-8 Aug. 2014
Firstpage :
636
Lastpage :
639
Abstract :
The Domain Green´s Function Method (DGFM) is a Method-of-Moments (MoM) based domain decomposition approach that is useful for the analysis of large, irregular antenna arrays. Mutual coupling between array elements is accounted for with the formulation of an active impedance matrix equation for each of the domains/array elements. The active current distribution on the entire array geometry is then obtained by solving these smaller matrix equations pertaining to the elements. The active impedance matrix calculation entails a summation of the MoM matrix diagonal and off-diagonal sub-matrices. For arrays containing a large number of elements this summation can lead to matrix fill times similar to that of the global MoM calculation. To mitigate this significant computational overhead, while still maintaining a sufficient degree of accuracy, the adaptive cross approximation (ACA) algorithm is applied to accelerate this part of the DGFM.
Keywords :
Green´s function methods; antenna arrays; geometry; impedance matrix; method of moments; ACA algorithm; DGFM; active current distribution; active impedance matrix equation; adaptive cross approximation; array elements; array geometry; computational overhead; diagonal submatrices; domain Green function method; domain decomposition approach; global MoM calculation; irregular antenna arrays; method-of-moments; off-diagonal submatrices; Acceleration; Antenna arrays; Equations; Impedance; Mathematical model; Method of moments; Mutual coupling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electromagnetics in Advanced Applications (ICEAA), 2014 International Conference on
Conference_Location :
Palm Beach
Print_ISBN :
978-1-4799-7325-5
Type :
conf
DOI :
10.1109/ICEAA.2014.6903935
Filename :
6903935
Link To Document :
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