Detail publikace

MATLAB-based Multi-objective Optimization of Broadband Circularly Polarized Antennas

Originální název

MATLAB-based Multi-objective Optimization of Broadband Circularly Polarized Antennas

Anglický název

MATLAB-based Multi-objective Optimization of Broadband Circularly Polarized Antennas

Jazyk

en

Originální abstrakt

Since requirements on axial ratio and impedance matching of a circularly polarized antenna are conflicting objectives, a MATLAB-based multi-objective optimization was used to design the feeding system of a two-layer broadband antenna array. Whereas optimum values of state variables were computed by the Non-Dominated Sorting Genetic Algorithm in MATLAB, objective functions were evaluated in CST Microwave Studio using the time-domain solver. Optimizing the antenna array in frequency range from 19 GHz to 21 GHz, the axial-ratio bandwidth 1.44 GHz, and the gain 14.9 dB were achieved. The problem of design sensitivity on fabrication tolerances has not been satisfactorily solved yet.

Anglický abstrakt

Since requirements on axial ratio and impedance matching of a circularly polarized antenna are conflicting objectives, a MATLAB-based multi-objective optimization was used to design the feeding system of a two-layer broadband antenna array. Whereas optimum values of state variables were computed by the Non-Dominated Sorting Genetic Algorithm in MATLAB, objective functions were evaluated in CST Microwave Studio using the time-domain solver. Optimizing the antenna array in frequency range from 19 GHz to 21 GHz, the axial-ratio bandwidth 1.44 GHz, and the gain 14.9 dB were achieved. The problem of design sensitivity on fabrication tolerances has not been satisfactorily solved yet.

Dokumenty

BibTex


@inproceedings{BUT138133,
  author="Dominika {Warmowska} and Martin {Marek} and Zbyněk {Raida}",
  title="MATLAB-based Multi-objective Optimization of Broadband Circularly Polarized Antennas",
  annote="Since requirements on axial ratio and impedance matching of a circularly polarized antenna are conflicting objectives, a MATLAB-based multi-objective optimization was used to design the feeding system of a two-layer broadband antenna array. Whereas optimum values of state variables were computed by the Non-Dominated Sorting Genetic Algorithm in MATLAB, objective functions were evaluated in CST Microwave Studio using the time-domain solver. Optimizing the antenna array in frequency range from 19 GHz to 21 GHz, the axial-ratio bandwidth 1.44 GHz, and the gain 14.9 dB were achieved. The problem of design sensitivity on fabrication tolerances has not been satisfactorily solved yet.",
  booktitle="Proceedings of LAPC 2017",
  chapter="138133",
  doi="10.1049/cp.2017.0263",
  howpublished="electronic, physical medium",
  year="2017",
  month="october",
  pages="1--5",
  type="conference paper"
}