Abstract
A numerically efficient technique for simulation-driven design of planar microstrip antenna arrays is discussed. It exploits the surrogate-based optimization (SBO) paradigm and variable-fidelity electromagnetic (EM) simulations. The design process includes radiation pattern optimization and matching. Two low-fidelity models are utilized: a coarse-mesh EM model of the entire array and a model of the array based on the array factor combined with the simulated radiation response of a single element. Both models, after suitable correction, guide the optimization process towards the optimum of the high-fidelity model of the antenna array. Design optimization of microstrip antenna arrays comprising 25 and 49 elements is conducted and described to demonstrate operation as well as efficiency of the proposed technique. The computational cost of optimized designs is equivalent to a few high-fidelity simulations of the entire array despite a large number of design variables.
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Koziel, S., Ogurtsov, S. (2014). Numerically Efficient Approach to Simulation-Driven Design of Planar Microstrip Antenna Arrays By Means of Surrogate-Based Optimization. In: Koziel, S., Leifsson, L., Yang, XS. (eds) Solving Computationally Expensive Engineering Problems. Springer Proceedings in Mathematics & Statistics, vol 97. Springer, Cham. https://doi.org/10.1007/978-3-319-08985-0_6
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DOI: https://doi.org/10.1007/978-3-319-08985-0_6
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