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Parametric Optimization of Complementary Split-Ring Resonator Dimensions for Planar Antenna Size Miniaturization

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Abstract

In this paper, a flexible and a modular approach to design complementary split-ring resonator (CSRR) metamaterials is presented which is further applied for a planar antenna miniaturization. The design task is treated as an optimization problem and one of the well-known computational techniques, particle swarm optimization (PSO) is employed to identify the design dimensions of planar CSRR structure followed by a C-band antenna miniaturization. Two trained neural networks (NNs) make use of machine learning (ML) approach to reduce the design time. The proposed procedure is easy to implement and can be further employed to design similar or other distinct metamaterial structures.

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Data Availability

The datasets generated during and/or analyzed during the current study are not publicly available due to organizational restrictions but are available from the corresponding author on a reasonable request after approval from authorities.

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Funding

The research work is not supported by any funding agency but resources as required for completion of the study/work at authors' current affiliation are utilized.

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Authors and Affiliations

  1. Microwave Devices Area, CSIR-CEERI, Pilani, Rajasthan, India

    Debasish Pal & Ayan Kumar Bandyopadhyay

  2. Department of Electrical and Electronics Engineering, Birla Institute of Technology and Science (BITS), Pilani Campus, Pilani, India

    Rahul Singhal

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  1. Debasish Pal
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Correspondence to Rahul Singhal.

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Pal, D., Singhal, R. & Bandyopadhyay, A.K. Parametric Optimization of Complementary Split-Ring Resonator Dimensions for Planar Antenna Size Miniaturization. Wireless Pers Commun 123, 1897–1911 (2022). https://doi.org/10.1007/s11277-021-09220-6

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  • DOI: https://doi.org/10.1007/s11277-021-09220-6

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