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Data Driven Modelling of Microstrip Patch Antenna

Year 2023, Volume: 3 Issue: 1, 17 - 21, 30.06.2023

Mehmet Bereket Mehmet Ali Belen Aysu Belen

Abstract

The design and analysis of microstrip patch antennas are crucial for microwave applications, such as communication systems, radar, and imaging devices. However, the complex interactions between the antenna's geometrical parameters, material properties, and performance characteristics make the design process computationally expensive and time-consuming. This paper presents a comprehensive study on data-driven surrogate modeling techniques for efficient design and optimization of microstrip patch antennas. We discuss various surrogate modeling techniques, such as support vector regression machine, Gaussian process models, artificial neural networks, and deep learning-based approaches, and evaluate their performance in predicting the antenna's performance metrics. Additionally, we demonstrate the application of surrogate modeling in the optimization of microstrip patch antennas and address the challenges and future research directions in this field.

Keywords

Surrogate models Artificial intelligence Antenna Optimization

References

  • [1] Singh, I., & Tripathi, V. S. (2011). Micro strip patch antenna and its applications: a survey. Int. J. Comp. Tech. Appl, 2(5), 1595-1599.
  • [2] Wang, Xinhai, Liqiong Wu, Hua Chen, Wei Wang, and Zhaoping Liu. "Frequency-Reconfigurable Microstrip Patch Antenna Based on Graphene Film." Electronics 12, no. 10 (2023): 2307.
  • [3] Tomura, Takeshi, Sakuyoshi Saito, and Yuichi Kimura. "A consideration on a dual-polarized single-layer wideband ring microstrip antenna fed by two L-probes." IEICE Technical Report; IEICE Tech. Rep. 122, no. 34 (2022): 24-29.
  • [4] Froumsia, Dokrom, Shao-Wen Yao, Essiben Dikoundou Jean-François, Houwe Alphonse, and Mustafa Inc. "A review of the miniaturization of microstrip patch antenna based on fractal shapes." (2022).
  • [5] Khan, M. U., Sharawi, M. S., & Mittra, R. (2015). Microstrip patch antenna miniaturisation techniques: a review. IET Microwaves, Antennas & Propagation, 9(9), 913-922.
  • [6] Mahouti, P. (2019). Design optimization of a pattern reconfigurable microstrip antenna using differential evolution and 3D EM simulation‐based neural network model. International Journal of RF and Microwave Computer‐Aided Engineering, 29(8), e21796.
  • [7] Koziel, S., Bekasiewicz, A., & Leifsson, L. (2015). Rapid EM-driven antenna dimension scaling through inverse modeling. IEEE Antennas and Wireless Propagation Letters, 15, 714-717.
  • [8] Cui, C., Hu, M., Weir, J. D., & Wu, T. (2016). A recommendation system for meta-modeling: A meta-learning based approach. Expert Systems with Applications, 46, 33-44.
  • [9] Easum, J. A., Nagar, J., & Werner, D. H. (2017, July). Multi-objective surrogate-assisted optimization applied to patch antenna design. In 2017 IEEE international symposium on antennas and propagation & USNC/URSI national radio science meeting (pp. 339-340). IEEE.
  • [10] Dai, X. W., Da Li, M. I., Wu, H. T., & Zhang, Y. H. (2022). Design of Compact Patch Antenna Based on Support Vector Regression. Radioengineering, 31(3).
  • [11] Chen, W., Wu, Q., Yu, C., Wang, H., & Hong, W. (2022). Multibranch machine learning-assisted optimization and its application to antenna design. IEEE Transactions on Antennas and Propagation, 70(7), 4985-4996.
  • [12] Zhang, S., Huang, D., Niu, B., & Bai, M. (2022). High‐efficient optimisation method of antenna array radiation pattern synthesis based on multi‐layer perceptron network. IET Microwaves, Antennas & Propagation, 16(12), 763-770.
  • [13] Calik, N., Belen, M. A., & Mahouti, P. (2020). Deep learning base modified MLP model for precise scattering parameter prediction of capacitive feed antenna. International journal of numerical modelling: electronic networks, devices and fields, 33(2), e2682.
  • [14] Eberhart, R., & Kennedy, J. (1995, November). Particle swarm optimization. In Proceedings of the IEEE international conference on neural networks (Vol. 4, pp. 1942-1948).
  • [15] Lizzi, L., Viani, F., Azaro, R., & Massa, A. (2007). Optimization of a spline-shaped UWB antenna by PSO. IEEE Antennas and Wireless Propagation Letters, 6, 182-185.
  • [16] Li, Y. L., Shao, W., You, L., & Wang, B. Z. (2013). An improved PSO algorithm and its application to UWB antenna design. IEEE Antennas and wireless propagation letters, 12, 1236-1239.
  • [17] Najjar, M. S. Y., & Khodier, N. D. M. (2008). Design of non–uniform circular antenna arrays using particle swarm optimization. Journal of electrical engineering, 59(4), 216-220.

Year 2023, Volume: 3 Issue: 1, 17 - 21, 30.06.2023

Mehmet Bereket Mehmet Ali Belen Aysu Belen

Abstract

References

  • [1] Singh, I., & Tripathi, V. S. (2011). Micro strip patch antenna and its applications: a survey. Int. J. Comp. Tech. Appl, 2(5), 1595-1599.
  • [2] Wang, Xinhai, Liqiong Wu, Hua Chen, Wei Wang, and Zhaoping Liu. "Frequency-Reconfigurable Microstrip Patch Antenna Based on Graphene Film." Electronics 12, no. 10 (2023): 2307.
  • [3] Tomura, Takeshi, Sakuyoshi Saito, and Yuichi Kimura. "A consideration on a dual-polarized single-layer wideband ring microstrip antenna fed by two L-probes." IEICE Technical Report; IEICE Tech. Rep. 122, no. 34 (2022): 24-29.
  • [4] Froumsia, Dokrom, Shao-Wen Yao, Essiben Dikoundou Jean-François, Houwe Alphonse, and Mustafa Inc. "A review of the miniaturization of microstrip patch antenna based on fractal shapes." (2022).
  • [5] Khan, M. U., Sharawi, M. S., & Mittra, R. (2015). Microstrip patch antenna miniaturisation techniques: a review. IET Microwaves, Antennas & Propagation, 9(9), 913-922.
  • [6] Mahouti, P. (2019). Design optimization of a pattern reconfigurable microstrip antenna using differential evolution and 3D EM simulation‐based neural network model. International Journal of RF and Microwave Computer‐Aided Engineering, 29(8), e21796.
  • [7] Koziel, S., Bekasiewicz, A., & Leifsson, L. (2015). Rapid EM-driven antenna dimension scaling through inverse modeling. IEEE Antennas and Wireless Propagation Letters, 15, 714-717.
  • [8] Cui, C., Hu, M., Weir, J. D., & Wu, T. (2016). A recommendation system for meta-modeling: A meta-learning based approach. Expert Systems with Applications, 46, 33-44.
  • [9] Easum, J. A., Nagar, J., & Werner, D. H. (2017, July). Multi-objective surrogate-assisted optimization applied to patch antenna design. In 2017 IEEE international symposium on antennas and propagation & USNC/URSI national radio science meeting (pp. 339-340). IEEE.
  • [10] Dai, X. W., Da Li, M. I., Wu, H. T., & Zhang, Y. H. (2022). Design of Compact Patch Antenna Based on Support Vector Regression. Radioengineering, 31(3).
  • [11] Chen, W., Wu, Q., Yu, C., Wang, H., & Hong, W. (2022). Multibranch machine learning-assisted optimization and its application to antenna design. IEEE Transactions on Antennas and Propagation, 70(7), 4985-4996.
  • [12] Zhang, S., Huang, D., Niu, B., & Bai, M. (2022). High‐efficient optimisation method of antenna array radiation pattern synthesis based on multi‐layer perceptron network. IET Microwaves, Antennas & Propagation, 16(12), 763-770.
  • [13] Calik, N., Belen, M. A., & Mahouti, P. (2020). Deep learning base modified MLP model for precise scattering parameter prediction of capacitive feed antenna. International journal of numerical modelling: electronic networks, devices and fields, 33(2), e2682.
  • [14] Eberhart, R., & Kennedy, J. (1995, November). Particle swarm optimization. In Proceedings of the IEEE international conference on neural networks (Vol. 4, pp. 1942-1948).
  • [15] Lizzi, L., Viani, F., Azaro, R., & Massa, A. (2007). Optimization of a spline-shaped UWB antenna by PSO. IEEE Antennas and Wireless Propagation Letters, 6, 182-185.
  • [16] Li, Y. L., Shao, W., You, L., & Wang, B. Z. (2013). An improved PSO algorithm and its application to UWB antenna design. IEEE Antennas and wireless propagation letters, 12, 1236-1239.
  • [17] Najjar, M. S. Y., & Khodier, N. D. M. (2008). Design of non–uniform circular antenna arrays using particle swarm optimization. Journal of electrical engineering, 59(4), 216-220.
There are 17 citations in total.

Details

Primary Language English
Subjects Artificial Intelligence
Journal Section Research Articles
Authors

Mehmet Bereket This is me 0000-0002-9332-9643

Mehmet Ali Belen 0000-0001-5588-9407

Aysu Belen 0000-0001-5038-424X

Publication Date June 30, 2023
Submission Date April 30, 2023
Published in Issue Year 2023 Volume: 3 Issue: 1

Cite

IEEE M. Bereket, M. A. Belen, and A. Belen, “Data Driven Modelling of Microstrip Patch Antenna”, Journal of Artificial Intelligence and Data Science, vol. 3, no. 1, pp. 17–21, 2023.
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