An Adaptive Frequency Sampling Method for Frequency Selective Surface design Exploiting Steor-Bulirsch Algorithm

In this paper, the adaptive frequency sampling (AFS) method with Steor-Bulirsch (SB) algorithm is proposed in conjunction with the method of moments (MOM) to calculate the broadband electromagnetic scattering performance of the frequency selective surface (FSS). Comparing with other sampling methods...

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Bibliographic Details
Main Authors: Chen, J.Q., Liu, Z.W., Chen, R.S., Ding, D.Z., Fan, Z.H., Ye, X.D., Sha, K.
Format: Conference Proceeding
Language:English
Subjects:
Adaptive sampling
Algorithm design and analysis
Computational modeling
Electromagnetic scattering
Frequency selective surface (FSS)
Frequency selective surfaces
Interpolation
Message-oriented middleware
Method of moments (MOM)
Microwave communication
Microwave theory and techniques
Moment methods
Sampling methods
Store-Bulirsch algorithm
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Summary:In this paper, the adaptive frequency sampling (AFS) method with Steor-Bulirsch (SB) algorithm is proposed in conjunction with the method of moments (MOM) to calculate the broadband electromagnetic scattering performance of the frequency selective surface (FSS). Comparing with other sampling methods, the Store-Bulirsch algorithm is a recursive tabular method and requires no matrix inversion, so it can obtain a rational interpolation function without suffering from singularity problems. Furthermore, since we use the AFS strategy to interpolate the final results, no more information is needed except the sampled frequency f and its true value, so it can be widely used in most of the electromagnetic (EM) simulation. Numerical results show that our sampling strategy has a good performance in both CPU time saving and computation accuracy.
ISSN:2165-4727
2165-4743
DOI:10.1109/APMC.2007.4554968