We present an accurate modeling technique that exploits standard space mapping (SM) as a trend function and the correction layer implemented with kriging. The kriging process allows us to efficiently utilize all available fine model data (not possible in the standard SM approach) and to obtain accur
Antenna modeling using space-mapping corrected cauchy approximation surrogates
✍ Scribed by Slawomir Koziel; Stanislav Ogurtsov; Mohamed H. Bakr
- Publisher
- John Wiley and Sons
- Year
- 2011
- Tongue
- English
- Weight
- 238 KB
- Volume
- 54
- Category
- Article
- ISSN
- 0895-2477
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✦ Synopsis
Abstract
In this work, a computationally efficient antenna modeling technique. Our methodology is a two‐stage approach is present. In the first stage, a Cauchy‐based approximation model is constructed using coarsely discretized full‐wave simulation. The accuracy of this model is improved using a space mapping (SM) approach. A limited number of high‐fidelity antenna simulations are used in the SM phase. We show that our approach obtains a modeling accuracy comparable to that provided by direct Cauchy approximation of the high‐fidelity electromagnetic simulation data. The computational cost is, however, much lower. We successfully illustrate our approach through a number of antenna modeling examples. © 2011 Wiley Periodicals, Inc. Microwave Opt Technol Lett 54:37–40, 2012; View this article online at wileyonlinelibrary.com. DOI 10.1002/mop.26455
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