Expedited Globalized Antenna Optimization by Principal Components and Variable-Fidelity EM Simulations: Application to Microstrip Antenna Design - Publikacja - MOST Wiedzy

Twoje konto

zaloguj

Wyszukiwarka

Expedited Globalized Antenna Optimization by Principal Components and Variable-Fidelity EM Simulations: Application to Microstrip Antenna Design

Abstrakt

Parameter optimization, also referred to as design closure, is imperative in the development of modern antennas. Theoretical considerations along with rough dimension adjustment through supervised parameter sweeping can only yield initial designs that need to be further tuned to boost the antenna performance. The major challenges include handling of multi-dimensional parameter spaces while accounting for several objectives and constraints. Due to complexity of modern antenna topologies, parameter interactions are often involved, leading to multiple local optima as well as difficulties in identifying decent initial designs that can be improved using local procedures. In such cases, global search is required, which is an expensive endeavor, especially if full-wave electromagnetic (EM) analysis is employed for antenna evaluation. This paper proposes a novel technique accommodating the search space exploration using local kriging surrogates and local improvement by means of trust-region gradient search. Computational efficiency of the process is achieved by constructing the metamodels over appropriately defined affine subspaces and incorporation of coarse-mesh EM simulations at the exploratory stages of the optimization process. The resulting framework enables nearly global search capabilities at the costs comparable to conventional gradient-based local optimization. This is demonstrated using two antenna examples and comparative studies involving multiple-start local tuning.

Cytowania

  • 1 9

    CrossRef

  • 0

    Web of Science

  • 1 7

    Scopus

Autorzy (3)

Cytuj jako

Pełna treść

pobierz publikację
pobrano 26 razy
Wersja publikacji
Accepted albo Published Version
Licencja
Creative Commons: CC-BY otwiera się w nowej karcie

Słowa kluczowe

Informacje szczegółowe

Kategoria:
Publikacja w czasopiśmie
Typ:
artykuły w czasopismach
Opublikowano w:
Electronics nr 9, strony 1 - 14,
ISSN: 2079-9292
Język:
angielski
Rok wydania:
2020
Opis bibliograficzny:
Tomasson J., Pietrenko-Dąbrowska A., Kozieł S.: Expedited Globalized Antenna Optimization by Principal Components and Variable-Fidelity EM Simulations: Application to Microstrip Antenna Design// Electronics -Vol. 9,iss. 4 (2020), s.1-14
DOI:
Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.3390/electronics9040673
Bibliografia: test
  1. Su, S.; Lee, C.; Hsiao, Y. Compact two-inverted-F-antenna system with highly integrated π-shaped decoupling structure. IEEE Trans. Ant. Propag. 2019, 67, 6182-6186. [CrossRef] otwiera się w nowej karcie
  2. Yazeen, P.S.M.; Vinisha, C.V.; Vandana, S.; Suprava, M.; Nair, R.U. Electromagnetic Performance Analysis of Graded Dielectric Inhomogeneous Streamlined Airborne Radome. IEEE Trans. Antennas Propag. 2017, 65, 1. [CrossRef] otwiera się w nowej karcie
  3. Ta, S.X.; Choo, H.; Park, I. Broadband Printed-Dipole Antenna and Its Arrays for 5G Applications. IEEE Antennas Wirel. Propag. Lett. 2017, 16, 2183-2186. [CrossRef] otwiera się w nowej karcie
  4. Pietrenko-Dabrowska, A.; Koziel, S. Computationally-efficient design optimisation of antennas by accelerated gradient search with sensitivity and design change monitoring. IET Microw. Antennas Propag. 2020, 14, 165-170. [CrossRef] otwiera się w nowej karcie
  5. Gregory, M.D.; Bayraktar, Z.; Werner, D.H. Fast Optimization of Electromagnetic Design Problems Using the Covariance Matrix Adaptation Evolutionary Strategy. IEEE Trans. Antennas Propag. 2011, 59, 1275-1285. [CrossRef] otwiera się w nowej karcie
  6. Bhattacharya, R.; Garg, R.; Bhattacharyya, T.K. Design of a PIFA-Driven Compact Yagi-Type Pattern Diversity Antenna for Handheld Devices. IEEE Antennas Wirel. Propag. Lett. 2015, 15, 1. [CrossRef] otwiera się w nowej karcie
  7. Rahman, M.; Naghshvarianjahromi, M.; Mirjavadi, S.S.; Hamouda, A. Compact UWB Band-Notched Antenna with Integrated Bluetooth for Personal Wireless Communication and UWB Applications. Electronics 2019, 8, 158. [CrossRef] otwiera się w nowej karcie
  8. Rahman, M.; Naghshvarianjahromi, M.; Mirjavadi, S.S.; Hamouda, A. Bandwidth Enhancement and Frequency Scanning Array Antenna Using Novel UWB Filter Integration Technique for OFDM UWB Radar Applications in Wireless Vital Signs Monitoring. Sensors 2018, 18, 3155. [CrossRef] otwiera się w nowej karcie
  9. Rahman, M.; Naghshvarianjahromi, M.; Mirjavadi, S.S.; Hamouda, A. Resonator Based Switching Technique between Ultra Wide Band (UWB) and Single/Dual Continuously Tunable-Notch Behaviors in UWB Radar for Wireless Vital Signs Monitoring. Sensors 2018, 18, 3330. [CrossRef] otwiera się w nowej karcie
  10. Palacios, J.; De Donno, D.; Widmer, J. Lightweight and Effective Sector Beam Pattern Synthesis With Uniform Linear Antenna Arrays. IEEE Antennas Wirel. Propag. Lett. 2016, 16, 605-608. [CrossRef] otwiera się w nowej karcie
  11. Ehrenborg, C.; Gustafsson, M. Fundamental Bounds on MIMO Antennas. IEEE Antennas Wirel. Propag. Lett. 2017, 17, 21-24. [CrossRef] otwiera się w nowej karcie
  12. Akyol, S.; Alatas, B. Plant intelligence based metaheuristic optimization algorithms. Artif. Intell. Rev. 2016, 47, 417-462. [CrossRef] otwiera się w nowej karcie
  13. Jian, R.; Chen, Y.; Chen, T. Multi-Parameters Unified-Optimization for Millimeter Wave Microstrip Antenna Based on ICACO. IEEE Access 2019, 7, 53012-53017. [CrossRef] otwiera się w nowej karcie
  14. Smith, J.; Baginski, M.E. Thin-Wire Antenna Design Using a Novel Branching Scheme and Genetic Algorithm Optimization. IEEE Trans. Antennas Propag. 2019, 67, 2934-2941. [CrossRef] otwiera się w nowej karcie
  15. Lalbakhsh, A.; Afzal, M.U.; Esselle, K.P. Multi-objective Particle Swarm Optimization to Design a Time Delay Equalizer Metasurface for an Electromagnetic Band Gap Resonator Antenna. IEEE Antennas Wirel. Propag. Lett. 2016, 16, 1. [CrossRef] otwiera się w nowej karcie
  16. Goudos, S.K. Antenna Design Using Binary Differential Evolution: Application to discrete-valued design problems. IEEE Antennas Propag. Mag. 2017, 59, 74-93. [CrossRef] otwiera się w nowej karcie
  17. Baumgartner, P.; Bauernfeind, T.; Biro, O.; Hackl, A.; Magele, C.; Renhart, W.; Torchio, R. Multi-Objective Optimization of Yagi-Uda Antenna Applying Enhanced Firefly Algorithm With Adaptive Cost Function. IEEE Trans. Magn. 2018, 54, 1-4. [CrossRef] otwiera się w nowej karcie
  18. Subhashini, K.R. Antenna array synthesis using a newly evolved optimization approach: Strawberry algorithm. J. Electr. Eng. 2019, 70, 317-322. [CrossRef] otwiera się w nowej karcie
  19. Wang, G.-G.; Deb, S.; Cui, Z. Monarch butterfly optimization. Neural Comput. Appl. 2015, 31, 1995-2014. [CrossRef] otwiera się w nowej karcie
  20. Salgotra, R.; Singh, U. A novel bat flower pollination algorithm for synthesis of linear antenna arrays. Neural Comput. Appl. 2016, 30, 2269-2282. [CrossRef] otwiera się w nowej karcie
  21. Alzahed, A.; Mikki, S.; Antar, Y.M. Nonlinear Mutual Coupling Compensation Operator Design Using a Novel Electromagnetic Machine Learning Paradigm. IEEE Antennas Wirel. Propag. Lett. 2019, 18, 861-865. [CrossRef] otwiera się w nowej karcie
  22. Tak, J.; Kantemur, A.; Sharma, Y.; Xin, H. A 3-D-Printed W-Band Slotted Waveguide Array Antenna Optimized Using Machine Learning. IEEE Antennas Wirel. Propag. Lett. 2018, 17, 2008-2012. [CrossRef] otwiera się w nowej karcie
  23. Bin Liu, J.; Shen, Z.X.; Lu, Y.L. Optimal Antenna Design With QPSO-QN Optimization Strategy. IEEE Trans. Magn. 2014, 50, 645-648. [CrossRef] otwiera się w nowej karcie
  24. Pantoja, M.F.; Meincke, P.; Bretones, A.C.R. A Hybrid Genetic-Algorithm Space-Mapping Tool for the Optimization of Antennas. IEEE Trans. Antennas Propag. 2007, 55, 777-781. [CrossRef] otwiera się w nowej karcie
  25. Zaharis, Z.; Lazaridis, P.; Cosmas, J.; Skeberis, C.; Xenos, T.D. Synthesis of a Near-Optimal High-Gain Antenna Array With Main Lobe Tilting and Null Filling Using Taguchi Initialized Invasive Weed Optimization. IEEE Trans. Broadcast. 2014, 60, 120-127. [CrossRef] otwiera się w nowej karcie
  26. Koziel, S.; Bekasiewicz, A. Multi-Objective Design of Antennas Using Surrogate Models; World Scientific Pub Co Pte Lt: Singapore, 2016. otwiera się w nowej karcie
  27. Koziel, S.; Leifsson, L. (Eds.) Surrogate-based modeling and optimization. In Applications in Engineering; Springer: New York, NY, USA, 2013. otwiera się w nowej karcie
  28. Hao, Z.-C.; He, M.; Hong, W. Design of a Millimeter-Wave High Angle Selectivity Shaped-Beam Conformal Array Antenna Using Hybrid Genetic/Space Mapping Method. IEEE Antennas Wirel. Propag. Lett. 2015, 15, 1208-1212. [CrossRef] otwiera się w nowej karcie
  29. Koziel, S.; Unnsteinsson, S.D. Expedited Design Closure of Antennas by Means of Trust-Region-Based Adaptive Response Scaling. IEEE Antennas Wirel. Propag. Lett. 2018, 17, 1099-1103. [CrossRef] otwiera się w nowej karcie
  30. Koziel, S.; Bekasiewicz, A. Expedited simulation-driven design optimization of UWB antennas by means of response features. Int. J. RF Microw. Comput. Eng. 2017, 27, e21102. [CrossRef] otwiera się w nowej karcie
  31. Koziel, S.; Pietrenko-Dabrowska, A. Performance-Driven Surrogate Modeling of High-Frequency Structures; otwiera się w nowej karcie
  32. Springer Science and Business Media LLC: Berlin/Heidelberg, Germany, 2020. otwiera się w nowej karcie
  33. Richards, L.E.; Jolliffe, I.T. Principal Component Analysis. J. Mark. Res. 1988, 25, 410. [CrossRef] otwiera się w nowej karcie
  34. Kleijnen, J.P.C. Kriging metamodeling in simulation: A review. Eur. J. Oper. Res. 2009, 192, 707-716. [CrossRef] otwiera się w nowej karcie
  35. Ai, M.; Kong, X.; Li, K. A general theory for orthogonal array based Latin hyper-cube sampling. Stat. Sin. 2016, 26, 761-777. otwiera się w nowej karcie
  36. Forrester, A.I.J.; Keane, A. Recent advances in surrogate-based optimization. Prog. Aerosp. Sci. 2009, 45, 50-79. [CrossRef] otwiera się w nowej karcie
  37. Couckuyt, I. Forward and inverse surrogate modeling of computationally expen-sive problems. PhD Thesis, Ghent University, Gent, Belgium, 2013.
  38. Conn, A.R.; Gould, N.I.M.; Toint, P.L. Trust region methods; Society for Industrial and Applied Mathematics: Philadelphia, PA, USA, 2000. otwiera się w nowej karcie
  39. Broyden, C.G. A class of methods for solving nonlinear simultaneous equations. Math. Comp. 1965, 19, 577-593. [CrossRef] otwiera się w nowej karcie
  40. Alsath, M.G.N.; Kanagasabai, M.; Alsath, M.G.N. Compact UWB Monopole Antenna for Automotive Communications. IEEE Trans. Antennas Propag. 2015, 63, 1. [CrossRef] otwiera się w nowej karcie
  41. Zhu, J.; Bandler, J.W.; Nikolova, N.K.; Koziel, S. Antenna Optimization through Space Mapping. IEEE Trans. Antennas Propag. 2007, 55, 651-658. [CrossRef] otwiera się w nowej karcie
  42. Chen, Y.-C.; Chen, S.-Y.; Hsu, P. Dual-Band Slot Dipole Antenna Fed by a Coplanar Waveguide. In Proceedings of the 2006 IEEE Antennas and Propagation Society International Symposium, Albuquerque, NM, USA, 9-14 July 2006; pp. 3589-3592. [CrossRef] otwiera się w nowej karcie
  43. © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). otwiera się w nowej karcie
Weryfikacja:
Politechnika Gdańska

wyświetlono 96 razy

Publikacje, które mogą cię zainteresować

Quasi-Global Optimization of Antenna Structures Using Principal Components and Affine Subspace-Spanned Surrogates

2020

High-Efficacy Global Optimization of Antenna Structures by Means of Simplex-Based Predictors

2023

Robust Parameter Tuning of Antenna Structures by Means of Design Specification Adaptation

2021

Global EM-Driven Optimization of Multi-Band Antennas Using Knowledge-Based Inverse Response-Feature Surrogates

2021
Meta Tagi