Detail publikace

Time-domain multi-objective optimization of antennas

Originální název

Time-domain multi-objective optimization of antennas

Anglický název

Time-domain multi-objective optimization of antennas

Jazyk

en

Originální abstrakt

A planar dipole antenna is analyzed using time-domain integral equation (TDIE) method. In order to compensate the influence of the shape of the excitation pulse and to suppress dispersion phenomena, an inverse filtering is applied in the time domain using the cyclic convolution. In order to keep computations in the time domain, an objective function is formulated in terms of time-domain parameters. A global optimum is sought by genetic algorithms and particle swarm optimization. The antenna is required to exhibit the maximum bandwidth, the maximum gain, and the minimum dimensions at the same time. Since these objectives are conflicting, a multi-objective approach is applied, and the set of Pareto optimum solutions is computed.

Anglický abstrakt

A planar dipole antenna is analyzed using time-domain integral equation (TDIE) method. In order to compensate the influence of the shape of the excitation pulse and to suppress dispersion phenomena, an inverse filtering is applied in the time domain using the cyclic convolution. In order to keep computations in the time domain, an objective function is formulated in terms of time-domain parameters. A global optimum is sought by genetic algorithms and particle swarm optimization. The antenna is required to exhibit the maximum bandwidth, the maximum gain, and the minimum dimensions at the same time. Since these objectives are conflicting, a multi-objective approach is applied, and the set of Pareto optimum solutions is computed.

BibTex


@inproceedings{BUT20125,
  author="Zbyněk {Raida} and Ivo {Hertl} and Petr {Šmíd} and Jaroslav {Láčík} and Zbyněk {Lukeš}",
  title="Time-domain multi-objective optimization of antennas",
  annote="A planar dipole antenna is analyzed using time-domain integral equation (TDIE) method. In order to compensate the influence of the shape of the excitation pulse and to suppress dispersion phenomena, an inverse filtering is applied in the time domain using the cyclic convolution.
In order to keep computations in the time domain, an objective function is formulated in terms of time-domain parameters. A global optimum is sought by genetic algorithms and particle swarm optimization.
The antenna is required to exhibit the maximum bandwidth, the maximum gain, and the minimum dimensions at the same time. Since these objectives are conflicting, a multi-objective approach is applied, and the set of Pareto optimum solutions is computed.",
  address="Antenna Centre of Excellence",
  booktitle="Proceedings of the European Conference on Antennas and Propagation EuCAP 2006",
  chapter="20125",
  institution="Antenna Centre of Excellence",
  year="2006",
  month="october",
  pages="1",
  publisher="Antenna Centre of Excellence",
  type="conference paper"
}