DocumentCode
1460859
Title
Efficient Algorithms for Computing Sommerfeld Integral Tails
Author
Golubovic, Ruzica ; Polimeridis, Athanasios G. ; Mosig, Juan R.
Author_Institution
Lab. of Electromagn. & Acoust. (LEMA)), Ecole Polytech. Fed. de Lausanne (EPFL), Lausanne, Switzerland
Volume
60
Issue
5
fYear
2012
fDate
5/1/2012 12:00:00 AM
Firstpage
2409
Lastpage
2417
Abstract
Sommerfeld-integrals (SIs) are ubiquitous in the analysis of problems involving antennas and scatterers embedded in planar multilayered media. It is well known that the oscillating and slowly decaying nature of their integrands makes the numerical evaluation of the SI real-axis tail segment a very time consuming and computationally expensive task. Therefore, SI tails have to be specially treated. In this paper we compare two recently developed techniques for their efficient numerical evaluation. First, a partition-extrapolation method, in which the integration-then-summation procedure is combined with a new version of the weighted averages (WA) extrapolation technique, is summarized. The previous variants of WA technique are also discussed. Then, a review of double-exponential (DE) quadrature formulas for direct integration of the SI tails is presented. The efficient way of implementing the algorithms, their pros and cons, as well as comparisons of their performance are discussed in detail.
Keywords
electric field integral equations; electromagnetic oscillations; electromagnetic wave scattering; extrapolation; SI real-axis tail segment; Sommerfeld integral computation algorithms; WA extrapolation technique; antennas; double-exponential quadrature formulas; integration-then-summation procedure; numerical evaluation; oscillating integrands; partition-extrapolation method; planar multilayered media; scatterers; slowly decaying integrands; weighted average extrapolation technique; Accuracy; Extrapolation; Kernel; Media; Moment methods; Silicon; Spectral analysis; Double-exponential quadrature; Sommerfeld integrals; extrapolation techniques; multilayered Green´s functions; numerical analysis; weighted averages algorithm;
fLanguage
English
Journal_Title
Antennas and Propagation, IEEE Transactions on
Publisher
ieee
ISSN
0018-926X
Type
jour
DOI
10.1109/TAP.2012.2189718
Filename
6162952
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