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Combinational of surrogate modeling and particle swarm optimization for improving the electromagnetic performances of a frequency selective surface

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Abstract

Frequency-selective surfaces (FSSs) consist of the repetition of unit cells for controlling reflection, transmission/absorption of electromagnetic (EM) fields. They are typically employed at radio and optical frequencies. Simulation of such large (in terms of wavelength) structures based on the traditional EM simulations is time-consuming and requires significant computational resources. Hence, this paper devotes to present an optimization-oriented methodology for designing and optimizing FSS in an automated fashion. The FSS structure is optimized using the artificial neural network paradigm, where the particle swarm optimization is applied for sizing the design parameters. The optimization process is an automatic one where electronic design automation tool with numerical analyser is working together, leading to effectively optimize the FSS design. To verify the effectiveness of the proposed method, an FSS structure exhibiting a wide transmission band for normal incidence in the 7.0–11.2 GHz range is considered.

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Acknowledgements

The present manuscript has been awarded with the 2nd Prize of the IEEE Communication Community Turkey Branch, at the 30th IEEE Conference on Signal Processing and Communications Applications (SIU) Congress, 16 - 18 May 2022, Safranbolu, Turkey.

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Authors and Affiliations

  1. Department of Electrical and Electronics Engineering, Dogus University, Istanbul, Turkey

    Lida Kouhalvandi

  2. Department of Electronics and Telecommunications, Politecnico di Torino, Turin, Italy

    Ladislau Matekovits

  3. Department of Measurements and Optical Electronics, Politehnica University Timisoara, Timisoara, Romania

    Ladislau Matekovits

  4. Istituto di Elettronica e di Ingegneria dell Informazione e delle Telecomunicazioni, National Research Council, Turin, Italy

    Ladislau Matekovits

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  1. Lida Kouhalvandi
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  2. Ladislau Matekovits
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Contributions

Conceptualization was performed by L.K. and L.M.; methodology was carried out by L.K. and L.M.; software was performed by L.K.; validation was carried out by L.K. and L.M.; formal analysis was performed by L.M.; investigation was carried out by L.K. and L.M.; data curation was performed by L.K.; writing—original draft preparation—was performed by L.K.; writing—review and editing—was carried out by L.K. and L.M.; visualization was carried out by L.K.; supervision was performed by L.M.

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Correspondence to Lida Kouhalvandi.

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Kouhalvandi, L., Matekovits, L. Combinational of surrogate modeling and particle swarm optimization for improving the electromagnetic performances of a frequency selective surface. SIViP 17, 1615–1620 (2023). https://doi.org/10.1007/s11760-022-02371-4

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  • DOI: https://doi.org/10.1007/s11760-022-02371-4

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