Abstract
In this paper, design and optimization of a microstrip elliptic traveling wave antenna (TWA) are presented for the beam scanning in X-band as an application of 3D data driven surrogate based design optimization technique. A novel Modified Multi-Layer Perceptron (M2LP) algorithm is utilized as a fast and accurate black-box modeling and compared to the alternative Multi-Layer Perceptron (MLP), Support Vector Regression Machine (SVRM), Gradient Boosted Tree algorithms for the generation of surrogate model of the TWA design. In order to have a computationally efficient modeling, Latin-Hyper Cube Sampling LHS method is utilized to obtain the training and test data from 3D CST Microwave numerical computation tool. A novel meta-heuristic, population based optimization algorithm, Invasive Weed Optimization (IWO) is applied to build up M2LP model for the determination of the optimal geometric design parameters. The optimum TWA model has total physical size of 100 mm × 20 mm with the operation frequency band between 8.5 and 12 GHz and measured overall gain of 7.1–11.8 dBi. The steerable radiation pattern characteristic is measured to be between −70 and 25 degrees. Thus, the proposed TWA design points out superior radiation performance for X band radar applications.
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Ma, X., & Ke, L. (2020). A low-profile broadband high-gain mechanically pattern reconfigurable antenna. 2020 Cross Strait Radio Science & Wireless Technology Conference (CSRSWTC). IEEE.
Rumyancev, I. A., & Korotkov, A. S. (2019). Survey on beamforming techniques and integrated circuits for 5G systems. In 2019 IEEE International Conference on Electrical Engineering and Photonics (EExPolytech) (pp. 76–80). IEEE.
Ojaroudi Parchin, N., Jahanbakhsh Basherlou, H., Al-Yasir, Y. I., Abdulkhaleq, A. M., & Abd-Alhameed, R. A. (2020). Reconfigurable antennas: Switching techniques—a survey. Electronics, 9(2), 336.
Belen, M. A. (2018). Traveling-wave microstrip array antenna using substrate integrated wavequide. 2018 22nd International Microwave and Radar Conference (MIKON), Poznan, pp. 37–40.https://doi.org/10.23919/MIKON.2018.8405228
Menzel, W. (1979). A new travelling-wave antenna in microstrip. AEU, 33(4), 137–140.
Jackson, D. R., & Oliner, A. A. (1988). A leaky-wave analysis of the high-gain printed antenna configuration. IEEE Transactions on Antennas and Propagation, 36(7), 905–910.
Podilchak, S. K., Freundorfer, A. P., Antar, Y. M. M., & Mahmoud, S. F. (2010). Dielectric based leaky-wave antenna for high gain using a printed surfacewave source. Electronics Letters, 46(23), 1537–1539.
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, e21796.
Ullah, U., Slawomir, K., & Ismail, B. M. (2019). Rapid redesign and bandwidth/size tradeoffs for compact wideband circular polarization antennas using inverse surrogates and fast EM-based parameter tuning. IEEE Transactions on Antennas and Propagation, 68(1), 81–89.
Du, J., & Roblin, C. (2017). Statistical modeling of disturbed antennas based on the polynomial chaos expansion. IEEE Antennas and Wireless Propagation Letters, 16, 1843–1847.
Koziel, S., & Sigurdsson, A. T. (2018). Multi-fidelity EM simulations and constrained surrogate modeling for low-cost multi-objective design optimization of antennas. IET Microwaves, Antennas & Propagation, 12(13), 2025–2029.
Chávez-Hurtado, J. L. (2017). Multiphysics design of high frequency circuits by polynomial surrogate modeling exploiting the multinomial theorem.
Pietrenko-Dabrowska, A., & Koziel, S. (2020). Cost-efficient surrogate modeling of high-frequency structures using nested kriging with automated adjustment of model domain lateral dimensions. AEU-International Journal of Electronics and Communications, 121, 153224.
Garbaya, A., Kotti, M., Drira, N., Fakhfakh, M., Tlelo-Cuautle, E., & Siarry, P. (2018). An RBF-PSO technique for the rapid optimization of (CMOS) analog circuits. In 2018 7th International Conference on Modern Circuits and Systems Technologies (MOCAST) (pp. 1–4). IEEE.
Güneş, F., Mehmet, A. B., Peyman, M., & Salih, D. (2016). Signal and noise modeling of microwave transistors using characteristic support vector-based sparse regression. Radioengineering, 25(3), 490–499.
Liu, Z., Lesselier, D., Sudret, B., & Wiart, J. (2020). Surrogate modeling of indoor down-link human exposure based on sparse polynomial chaos expansion. International Journal for Uncertainty Quantification, 10(2).
Rayas-Sanchez, J. E., & Gutierrez-Ayala, V. (2006). EM-based statistical analysis and yield estimation using linear-input and neural-output space mapping. IEEE MTT-S Int. Microwave Symp. Digest (IMS), pp. 1597–1600.
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, 33, e2682.
Mahouti, T., Yıldırım, T., & Kuşkonmaz, N. (2021). Artificial intelligence–based design optimization of nonuniform microstrip line band pass filter. International Journal of Numerical Modelling e2888.
Güneş, F., Belen, A., & Belen, M. A. (2019). Microstrip tapered traveling wave antenna for wide range of beam scanning in X‐and Ku‐bands. International Journal of RF and Microwave Computer‐Aided Engineering, 29(9), e21771.
Ishimaru, A. (1991). Electromagnetic wave propagation, radiation, and scattering. Prentice Hall.
Misaghi, M., & Yaghoobi, M. (2019). Improved invasive weed optimization algorithm (IWO) based on chaos theory for optimal design of PID controller. Journal of Computer Design and Engineering, 6(3), 284–295.
Karimkashi, S., & Kishk, A. A. (2010). Invasive weed optimization and its features in electromagnetics. IEEE Transactions on Antennas and Propagation, 58(4), 1269–1278.
Maddio, S., Pelosi, G., Righini, M., Selleri, S., & Vecchi, I. (2020). Optimization of the shape of non-planar electronically scanned arrays for IFF applications via multi-objective invasive weed optimization algorithm. Applied Computational Electromagnetics Society (ACES) Journal, 35(5).
Mallahzadeh, A. R. R., Oraizi, H., & Davoodi-Rad, Z. (2008). Application of the invasive weed optimization technique for antenna configurations. Progress in Electromagnetics Research, 79, 137–150.
Hayati, M., Amiri, M., & Sedighy, S. H. (2015). Design of compact and wideband suppression low pass elliptic filter by n-segment step impedance transmission line. Applied Computational Electromagnetics Society (ACES) Journal, 30(5).
Mallahzadeh, A. R., & Taghikhani, P. (2011). Cosecant squared pattern synthesis for reflector antenna using a stochastic method. Applied Computational Electromagnetics Society (ACES) Journal, 26(10), 823–830.
Khakzad, H. R., Sedighy, S. H., & Amirhosseini, M. K. (2013). Design of compact SITLs low pass filter by using invasive weed optimization (IWO) technique. Applied Computational Electromagnetics Society (ACES) Journal, 28(3), 228–233.
Belen, A., Mahouti, P., Güneş, F., & Tari, Ö. (2021). Gain enhancement of a traditional horn antenna using 3D printed square-shaped multi-layer dielectric lens for X-band applications. Applied Computational Electromagnetics Society (ACES) Journal, 36(2).
Belen, M. A., Peyman, M., Slawomir, K., Alper, Ç., & Stanislaw, S. (2021). On decomposition-based surrogate-assisted optimization of leaky wave antenna input characteristics for beam scanning applications. IEEE Access, 9, 161318–161325.
LB8180, 0.8-18 GHz broadband horn antenna, (2017). Available at http://www.ainfoinc.com/en/p_ant_h_brd.asp
Lyu, Y.-L., Liu, X.-X., Wang, P.-Y., et al. (2016). Leaky-wave antennas based on noncutoff substrate integrated waveguide supporting beam scanning from backward to forward. IEEE Transactions on Antennas and Propagation, 64(6), 2155–2164.
Lee, D., & Lim, S. (2015). Leaky-wave antenna design using quarter-mode substrate-integrated waveguide. Microwave and Optical Technology Letters, 57(5), 1234–1236.
Prasad, C. S., Biswas, A., & Akhtar, M. J. (2018). Leaky wave antenna for wide range of beam scanning through broadside in dielectric image line environment. Microwave and Optical Technology Letters, 60, 1707–1713. https://doi.org/10.1002/mop.31224
Belen, M., & Mahouti, P. (2018). X Band Radar Sistemleri için Mikroşerit Yürüyen Dalga Anten Tasarımı. Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 8(4), 87–96. https://doi.org/10.21597/jist.415458
Yan, S., & Li, Y. C. (2018). Design of broadband leaky-wave antenna based on permeabilitynegative transmission line. Microwave and Optical Technology Letters, 60, 699–704. https://doi.org/10.1002/mop.31044
Kandwal, A., Zhang, Q., Das, R., Tang, X., & Louis, L. W. (2018). Model analysis of coupled-mode leaky-wave antenna for forward and backward frequency scanning. Microwave and Optical Technology Letters, 60, 1360–1368. https://doi.org/10.1002/mop.31164
Farooq, M., Khan, M. U., & Cheema, H. M. (2018). A 5 GHz narrow-beam leaky-wave antenna using binomially distributed slot based substrate integrated waveguide. Microwave and Optical Technology Letters, 60, 2288–2293. https://doi.org/10.1002/mop.31342
Acknowledgements
We would like to express our special thanks of gratitude to antenna laboratories of Yıldız Technical University, and Aktif Neser Elektronik for providing their support for our researches. The data that support the findings of this study are openly available upon reasonable request.
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Belen, A., Günes, F., Palandoken, M. et al. 3D EM data driven surrogate based design optimization of traveling wave antennas for beam scanning in X-band: an application example. Wireless Netw 28, 1827–1834 (2022). https://doi.org/10.1007/s11276-022-02937-7
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DOI: https://doi.org/10.1007/s11276-022-02937-7