DocumentCode :
1333628
Title :
Determining the equivalent impedance boundary condition for corrugated coatings based on the genetic algorithm
Author :
Su, Tao ; Ling, Hao
Author_Institution :
Dept. of Electr. & Comput. Eng., Texas Univ., Austin, TX, USA
Volume :
48
Issue :
3
fYear :
2000
fDate :
3/1/2000 12:00:00 AM
Firstpage :
374
Lastpage :
382
Abstract :
A methodology based on the genetic algorithm (GA) is proposed to determine the equivalent impedance boundary condition (IBC) for corrugated material coating structures. In this approach, rigorous solutions of the reflection coefficients at a number of incident angles are first calculated using a periodic method of moments (MoM) solver. The IBC model is used to predict the reflection coefficients at the same observation angles. The model coefficients are then optimized using the GA so that the difference between the approximated and the MoM predicted reflection coefficients is minimized. The GA proves efficient in obtaining an optimal IBC model. The resulting IBC model can be readily incorporated into an existing computational electromagnetics code to assess the performance of the corrugated coating when mounted on complex platforms
Keywords :
approximation theory; coatings; electric impedance; electromagnetic wave reflection; electromagnetic wave scattering; genetic algorithms; method of moments; periodic structures; IBC approximation; MoM solver; complex platforms; computational electromagnetics code; corrugated material coating structures; equivalent impedance boundary condition; genetic algorithm; incident angles; model coefficients; observation angles; optimal IBC model; periodic method of moments; reflection coefficients; rigorous solutions; scattering characteristics; Boundary conditions; Coatings; Computational electromagnetics; Corrugated surfaces; Electromagnetic scattering; Genetic algorithms; Moment methods; Predictive models; Reflection; Surface impedance;
fLanguage :
English
Journal_Title :
Antennas and Propagation, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-926X
Type :
jour
DOI :
10.1109/8.841898
Filename :
841898
Link To Document :
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