DocumentCode :
806860
Title :
Convergence acceleration of the doubly periodic Green´s function for the analysis of thin wire arrays
Author :
Malyuskin, O. ; Fusco, V. ; Schuchinsky, A.
Author_Institution :
Inst. of Electron. Commun. & Inf. Technol., Queens Univ. Belfast, Belfast
Volume :
2
Issue :
5
fYear :
2008
fDate :
8/1/2008 12:00:00 AM
Firstpage :
410
Lastpage :
417
Abstract :
A method is proposed to accelerate the evaluation of the Green´s function of an infinite double periodic array of thin wire antennas. The method is based on the expansion of the Green´s function into series corresponding to the propagating and evanescent waves and the use of Poisson and Kummer transformations enhanced with the analytic summation of the slowly convergent asymptotic terms. Unlike existing techniques the procedure reported here provides uniform convergence regardless of the geometrical parameters of the problem or plane wave excitation wavelength. In addition, it is numerically stable and does not require numerical integration or internal tuning parameters, since all necessary series are directly calculated in terms of analytical functions. This means that for nonlinear problem scenarios that the algorithm can be deployed without run time intervention or recursive adjustment within a harmonic balance engine. Numerical examples are provided to illustrate the efficiency and accuracy of the developed approach as compared with the Ewald method for which these classes of problems requires run time splitting parameter adaptation.
Keywords :
Green´s function methods; antenna arrays; stochastic processes; transforms; Kummer transformations; Poisson transformations; convergence acceleration; doubly periodic Green´s function; evanescent waves; harmonic balance engine; infinite double periodic array; plane wave excitation wavelength; run time splitting parameter adaptation; thin wire antenna array;
fLanguage :
English
Journal_Title :
Microwaves, Antennas & Propagation, IET
Publisher :
iet
ISSN :
1751-8725
Type :
jour
DOI :
10.1049/iet-map:20070206
Filename :
4567150
Link To Document :
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