Antenna Design by Simulation-Driven Optimization by Slawomir Koziel PDF

By Slawomir Koziel

ISBN-10: 3319043668

ISBN-13: 9783319043661

ISBN-10: 3319043676

ISBN-13: 9783319043678

This short reports a couple of options exploiting the surrogate-based optimization notion and variable-fidelity EM simulations for effective optimization of antenna buildings. The creation of every strategy is illustrated with examples of antenna layout. The authors reveal the ways that practitioners can receive an optimized antenna layout on the computational rate similar to a couple of high-fidelity EM simulations of the antenna constitution. there's additionally a dialogue of the choice of antenna version constancy and its impression on functionality of the surrogate-based layout approach. This quantity is appropriate for electric engineers in academia in addition to undefined, antenna designers and engineers facing computationally-expensive layout problems.

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Extra resources for Antenna Design by Simulation-Driven Optimization

Example text

Design specifications denoted by thick horizontal lines. (a) Rf and Rc responses at the beginning of the iteration as well as original design specifications; (b) Rf and Rc responses and modified design specifications that reflect the differences between the responses; (c) low-fidelity model optimized to meet the modified specifications; (d) high-fidelity model at the low-fidelity model optimum shown versus original specifications. Horizontal lines indicate the design specifications models is not as important as the shape similarity.

Not long time ago, discrete EM simulators were used mostly for design verification purposes. Nowadays, due to the progress in computing hardware as well as development of computational electromagnetic methods, the discrete EM simulators turn to be indispensable for the entire design process starting from a concept estimation step. The use of discrete full-wave simulators is also appealing from the practical point of view and allows obtaining reliable antenna responses with respect to environment and feeds.

2009), Björkman and Holmström (2000), as well as Gutmann (2001). The last two exploit radial basis function surrogates rather than kriging. Chapter 4 Methodologies for Variable-Fidelity Optimization of Antenna Structures In this chapter, we formulate and discuss several surrogate-based optimization techniques and algorithms that may be useful for computationally efficient antenna optimization. All methods presented here exploit variable-fidelity EM simulations. In particular, in order to optimize the high-fidelity EM model Rf of the antenna structure under consideration, an auxiliary low-fidelity model Rc is utilized that is normally based on coarse-discretization EM evaluation of the same structure.

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Antenna Design by Simulation-Driven Optimization by Slawomir Koziel

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