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A new efficient and proper modeling of isotropic/uniaxial anisotropic substrate specifications in design procedures of metasurfaces

Published online by Cambridge University Press:  14 November 2016

Sara Moinzad ,
Ali Abdolali  and
Bagher Noorbakhsh
Sara Moinzad*
Affiliation:
Applied Electromagnetics Laboratory, Iran University of Science and Technology (IUST), Narmak, Tehran 1684613114, Iran
Ali Abdolali
Affiliation:
Applied Electromagnetics Laboratory, Iran University of Science and Technology (IUST), Narmak, Tehran 1684613114, Iran
Bagher Noorbakhsh
Affiliation:
Faculty of Electrical Engineering, K. N. Toosi University of Technology, Tehran, Iran
*
Corresponding author: S. Moinzad Email: [email protected]
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Abstract

Specifications of the substrates are among the most important and problematic parameters that still do not have proper models in the design procedures of metasurfaces. In this paper, a new fast and exact algorithm based on artificial neural networks (ANNs) is presented, which makes it possible to design frequency-selective surfaces (FSSs) on various kinds of standard substrates. Also for the first time, designing FSSs on uniaxial anisotropic substrates can be easily done in short time and without any optimization algorithms. During this paper, first equivalent geometry approach (EGA) is demonstrated as a new method of preparation the ANNs. Then EGA is used to train geometry transformation ANNs. The advantage of this approach is to reduce the size of training datasets by about 98% and prevent from superfluous simulations. Hence, the time needed for training of the networks is much less than before. Numerical results are used to show that the required time for developing FSSs is <200 ms on average, and errors are <2%. For the final validation, a prototype sample of FSS is fabricated on the RO4003 substrate with 20 mil thickness. Both analytical and experimental results confirm the correctness of the predicted values.

Keywords

Frequency selective surfacesArtificial neural networksUniaxial substratesPeriodic substratesLiquid crystal substrates
Type
Research Papers
Information
International Journal of Microwave and Wireless Technologies , Volume 9 , Issue 5 , June 2017 , pp. 1045 - 1057
Copyright
Copyright © Cambridge University Press and the European Microwave Association 2016 

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References

[1] Bayatpur, F.: Metamaterial-Inspired Frequency-Selective Surfaces, Diss., the University of Michigan, Ann Arbor, 2009.Google Scholar
[2] Kern, D.J.; Werner, D.H.; Lisovich, M.: Metaferrites: using electromagnetic bandgap structures to synthesize metamaterial ferrites. IEEE Trans. Antennas Propag., 53 (2005), 1382–1389.Google Scholar
[3] Monorchio, A.; Manara, G.: Synthesis of artificial magnetic conductors by using multilayered frequency selective surfaces. IEEE Antennas Wireless Propag. Lett., 1 (2002), 196–199.Google Scholar
[4] Kiani, G.I.; Ford, K.L.; Esselle, K.P.; Wei, A.R.; Panagamuwa, C.J.: Oblique incidence performance of a novel frequency selective surface absorber. IEEE Trans. Antennas Propag., 55 (2007), 2931–2934.Google Scholar
[5] Munk, B.: Frequency Selective Surfaces: Theory and Design, Wiley, New York, 2000.CrossRefGoogle Scholar
[6] Wu, T.: Frequency Selective Surface and Grid Array, Wiley, New York, 1995.Google Scholar
[7] Chandrika, S.; Madhu, A.R.; Mahesh, A.; Pillai, A.C.R.: FSS radomes for antenna RCS reduction. Int. J. Adv. Eng. Technol., 6 (2013), 464–1473.Google Scholar
[8] Euler, M.; Fusco, V.; Cahill, R.; Dickie, R.: Comparison of frequency selective screen-based linear to circular split-ring polarization converters. IET Microw. Antennas Propag., 4 (2010), 1764–1772.Google Scholar
[9] Ma, B.; Xia, M.; Yan, L.: Design of a K-band reflectarray antenna using double square ring elements. Microw. Opt. Technol. Lett., 54 (2012), 394–398.CrossRefGoogle Scholar
[10] Abu, M.; Rahim, M.K.A.: Single-band and dual-band artificial magnetic conductor ground planes for multiband dipole antenna. Radio Eng., 21 (2012), 999–1006.Google Scholar
[11] Foroozesh, A.; Shafai, L.: Investigation into the effects of the patch-type FSS superstrate on the high-gain cavity resonance antenna design. IEEE Trans. Antennas Propag., 58 (2010), 258–270.Google Scholar
[12] Callaghan, P.; Parker, E.A.; Langley, R.J.: Influence of supporting dielectric layers on the transmission properties of frequency selective surfaces. IEE Proc. H, 138 (1991), 448–454.Google Scholar
[13] Zhang, H., Lu, J., Sun, G.; Xiao, H.: Influence of substrate tolerances on transmission characteristics of frequency-selective surfaces. Chin. Opt. Lett., 6 (2008), 54–56.CrossRefGoogle Scholar
[14] Campos, A.L.P.S.; D'Assunção, A.G.; De Melo, M.A.B.: Frequency selective surfaces with anisotropic dielectric superstrates. Int. J. Infrared Millim. Waves, 21 (2000), 461–475.Google Scholar
[15] Campos, A.L.P.S.; D'Assunção, A.G.; De Melo, M.A.B.: Scattering parameters of FSS on anisotropic layers at millimeter wave frequencies. Int. J. Infrared Millim. Waves, 23 (2002), 123–133.Google Scholar
[16] Campos, A.L.P.S.; D'Assunção, A.G.; de Mendonça, L.M.: Scattering parameters of FSS on the substrate for TE and TM excitation. IEEE Trans. Microw. Theory Technol., 50 (2002), 72–76.Google Scholar
[17] Boufrioua, A.; Benghalia, A.: Effects of the resistive patch and the uniaxial anisotropic substrate on the resonance frequency and the scattering radar cross section of rectangular microstrip antenna. Aerosp. Sci. Technol., 10 (2006), 217–221.Google Scholar
[18] Lin, B.; Liu, S.; Yuan, N.: Analysis of frequency selective surfaces on electrically and mechanically anisotropic substrates. IEEE Trans. Antennas Propag., 54 (2006), 674–680.Google Scholar
[19] Campos, A.L.P.S.; D'Assunção, A.G.: Frequency selective surfaces on iso/anisotropic substrates with dielectric losses. Microw. Opt. Technol. Lett., 49 (2007), 1041–1044.CrossRefGoogle Scholar
[20] Fallahi, A.; Mishrikey, M.; Hafner, C.; Vahldieck, R.: Analysis of multilayer frequency selective surfaces on periodic and anisotropic substrates. Metamaterials, 3 (2009), 63–74.Google Scholar
[21] Langley, R.J.; Parker, E.A.: Equivalent circuit model for arrays of square loops. Electron. Lett., 18 (1982), 294–296.Google Scholar
[22] Lee, C.K.; Langley, R.J.: Equivalent circuit models for frequency selective surfaces at oblique angles of incidence. IEE Proc. H, 132 (1985), 395–399.Google Scholar
[23] Kent, E.; Doken, B.; Kartal, M.: A new equivalent circuit based FSS design method by using a genetic algorithm, in Int. Conf. on Engineering Optimization, Lisbon, 2010, 1–4.Google Scholar
[24] Marcuvitz, N.: Waveguide Handbook, McGraw-Hill, New York, 1951.Google Scholar
[25] Gunes, F.; Demirel, S.; Nesil, S.: A novel design approach to x-band Minkowski reflectarray antenna using the full-wave em simulation-based complete neural model with a hybrid ga-nm algorithm. Radio Eng., 23 (2014), 144–153.Google Scholar
[26] Silva, P.H.F.; Campos, A.L.P.S.: Fast and accurate modeling of frequency selective surfaces using a new modular neural network configuration of multilayer perceptrons. IET Microw. Antenna Propag., 2 (5) (2008), 503–511.Google Scholar
[27] da Silva, M.R.; Nobrega, C.d.L.; Silva, P.H.d.F.; D'Assunção, A.G.: Optimization of FSS with Sierpinski island fractal elements using population-based search algorithms and MLP neural network. Microw. Opt. Technol. Lett., 56 (2014), 827–831.Google Scholar