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
Link To Document :
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