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1

A modified neural network for antennas optimization

Costa Marcos

Przegląd Elektrotechniczny

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2020

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R. 96, nr 11

104--108

EN

In mobile communications, devices are generally more compact, nevertheless allow data traffic at high speeds. To meet such demand, embedded hardware must present limited dimensions and at the same time be robust enough to ensure high communication speeds. In this work, a modified Hopfield neural network was applied in the optimization of planar antennas. The role of the algorithm presented here, is to find the ideal antenna dimensions to meet the future 5G mobile technology. With this, a significant improvement in resonance, gain and directivity was expected, which are some of the important parameters in antenna analysis. In the literature, no reference was found based on the modified Hopfield neural network applied to the optimization of planar antennas, which further enhances this research, providing an important and unprecedented contribution. The analysis of the results shows the efficiency, robustness, precision and reliability of this approach, encouraging further research in this area.

PL

W pracy przedstawiono zmodyfikowaną sieć neuronową Hopfielda wykorzystaną do optymalizacji planarnej anteny. Rolą algorytmu jest znalezienie wymiarów anteny tak aby można było projektować anteny 5G. Doatkowo można antenę optymalizować pod kątem wzmocniania w rezonansie i kierunkowości.

2

Suppressing Side-Lobes of Linear Phased Array of Micro-Strip Antennas with Simulation-Based Optimization

Kozieł S., Ogurtsov S., Bekasiewicz A.

Metrology and Measurement Systems

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2016

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Vol. 23, nr 2

193--203

EN

A simulation-based optimization approach to design of phase excitation tapers for linear phased antenna arrays is presented. The design optimization process is accelerated by means of Surrogate-Based Optimization (SBO); it uses a coarse-mesh surrogate of the array element for adjusting the array’s active reflection coefficient responses and a fast surrogate of the antenna array radiation pattern. The primary optimization objective is to minimize side-lobes in the principal plane of the radiation pattern while scanning the main beam. The optimization outcome is a set of element phase excitation tapers versus the scan angle. The design objectives are evaluated at the high fidelity level of description using simulations of the discrete electromagnetic model of the entire array so that the effects of element coupling and other possible interaction within the array structure are accounted for. At the same time, the optimization process is fast due to SBO. Performance and numerical cost of the approach are demonstrated by optimizing a 16-element linear array of microstrip antennas. Experimental verification has been carried out for a manufactured prototype of the optimized array. It demonstrates good agreement between the radiation patterns obtained from simulations and from physical measurements (the latter constructed through superposition of the measured element patterns).

3

Zastosowanie programu Remcom XFdtd i środowiska Octave do optymalizacji anten

Di Barba P., Hausman S., Januszkiewicz Ł.

Przegląd Telekomunikacyjny + Wiadomości Telekomunikacyjne

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2015

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nr 4

139--142

PL

Przedstawiono sposób integracji programu komputerowego do obliczeń elektrodynamicznych XFdtd firmy Remcom oraz środowiska obliczeniowego Octave do automatycznej optymalizacji anten. Pokazano, że proponowane podejście daje się zastosować w praktyce projektowej, przy wykorzystaniu kart graficznych do obliczeń równoległych. Działanie opracowanych skryptów zilustrowano przykładami optymalizacji dipola oraz anteny typu V z użyciem algorytmu ewolucyjnego .Pokazane w artykule wyniki optymalizaqi dotyczą przypadków z dwoma i z trzema parametrami geometrii anteny. Przy trzech parametrach otrzymano rozwiązanie znacznie lepiej spełniające wymagania projektowe, niż przy dwóch, przy nadal akceptowalnym czasie obliczeń.

EN

In the paper a method of integration of Remcom computational electrodynamics package XFdtd with Octave high-level interpreted language for numerical computation for the automatic antenna optimization is presented. It is shown that with an application of parallel computing on graphics processing units the proposed approach can be successfully used in antenna design practice. Operation of the scripts developed in XFdtd and Octave is illustrated with example evolutionary optimization for a dipole antenna and a Vee antenna. Optimization results are obtained for two and three antenna geometry variables. Results achieved with three variables satisfy optimization criteria better than with two variables within an acceptable time of computation.

4

Rapid antenna design optimization using shape-preserving response prediction

Kozieł S., Ogurtsov S., Szczepański S.

Bulletin of the Polish Academy of Sciences. Technical Sciences

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2012

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Vol. 60, nr 1

143-149

EN

An approach to rapid optimization of antennas using the shape-preserving response-prediction (SPRP) technique and coarsediscretization electromagnetic (EM) simulations (as a low-fidelity model) is presented. SPRP allows us to estimate the response of the high-fidelity EM antenna model, e.g., its reflection coefficient versus frequency, using the properly selected set of so-called characteristic points of the low-fidelity model response. The low-fidelity model, corrected by means of SPRP, is subsequently used to predict the optimal design. The design process is cost efficient because most operations are performed on the low-fidelity model. Performance of our technique is demonstrated using a dielectric resonator antenna and two planar wideband antenna examples. In all cases, the optimal design is obtained at a cost corresponding to a few high-fidelity simulations of the antenna under design.