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Antenna Design by Simulation-Driven Optimization

Part of the book series: SpringerBriefs in Optimization ((BRIEFSOPTI))

Abstract

Design of modern antennas is undoubtedly a challenging task. An important part of the design process is the adjustment of geometry and material parameters to ensure that the antenna response satisfies prescribed performance specifications with respect to certain characteristics such as input impedance, radiation pattern, antenna efficiency, etc. (Volakis 2007; Schantz 2005; Petosa 2007; Balanis 2005). In this context, computationally inexpensive analytical models can only be used—in most cases—to obtain an initial estimate of the optimum design. This is particularly the case when certain interactions within the antenna itself and with the antenna environment (e.g., housing, installation fixture, feeding circuit, connectors) have to be taken into account. For these reasons, full-wave electromagnetic (EM) simulation plays an essential role in the design closure. Contemporary computational techniques—implemented in commercial simulation packages—are capable to adequately evaluate antenna reflection and radiation responses. On the other hand, full-wave simulations of realistic and finely discretized antenna models are computationally expensive: evaluation for a single combination of design parameters may take up to several hours. While this cost is acceptable from the design validation standpoint, it is usually prohibitive for design optimization that normally requires a large number of EM simulations of the antenna structure of interest.

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Authors and Affiliations

  1. School of Science and Engineering, Reykjavik University Engineering Optimization & Modeling Center, Reykjavik, Iceland

    Slawomir Koziel & Stanislav Ogurtsov

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  1. Slawomir Koziel
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  2. Stanislav Ogurtsov
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© 2014 Slawomir Koziel and Stanislav Ogurtsov

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Koziel, S., Ogurtsov, S. (2014). Introduction. In: Antenna Design by Simulation-Driven Optimization. SpringerBriefs in Optimization. Springer, Cham. https://doi.org/10.1007/978-3-319-04367-8_1

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