Detail publikace

Adaptive Beam Forming in Time-Domain

KADLEC, P. RAIDA, Z. ŠTUMPF, M.

Originální název

Adaptive Beam Forming in Time-Domain

Anglický název

Adaptive Beam Forming in Time-Domain

Jazyk

en

Originální abstrakt

This paper introduces a new technique for adaptive beam forming in time domain of an array of slot antennas with finite widths. The time dependent field is computed using the closed-form expressions for the radiated EM fields. The radiated energy is focused at a desired space and time and minimized in other regions to satisfy the requirements of a biomedicine hyperthermia. Setting of excitation properties of particular slots leads to optimization problem that is solved using a new stochastic multi-objective algorithm called MOSOMA (Multi-Objective Self-Organizing Migrating Algorithm).

Anglický abstrakt

This paper introduces a new technique for adaptive beam forming in time domain of an array of slot antennas with finite widths. The time dependent field is computed using the closed-form expressions for the radiated EM fields. The radiated energy is focused at a desired space and time and minimized in other regions to satisfy the requirements of a biomedicine hyperthermia. Setting of excitation properties of particular slots leads to optimization problem that is solved using a new stochastic multi-objective algorithm called MOSOMA (Multi-Objective Self-Organizing Migrating Algorithm).

Dokumenty

BibTex 


@inproceedings{BUT73327,
  author="Petr {Kadlec} and Zbyněk {Raida} and Martin {Štumpf}",
  title="Adaptive Beam Forming in Time-Domain",
  annote="This paper introduces a new technique for adaptive beam forming in time domain of an array of slot antennas with finite widths. The time dependent field is computed using the closed-form expressions for the radiated EM fields. The radiated energy is focused at a desired space and time and minimized in other regions to satisfy the requirements of a biomedicine hyperthermia. Setting of excitation properties of particular slots leads to optimization problem that is solved using a new stochastic multi-objective algorithm called MOSOMA (Multi-Objective Self-Organizing Migrating Algorithm).",
  address="COREP",
  booktitle="Proceedings of International Conference on Electromagnetics in Advanced Applications ICEAA 2011",
  chapter="73327",
  edition="13",
  howpublished="electronic, physical medium",
  institution="COREP",
  year="2011",
  month="september",
  pages="299--302",
  publisher="COREP",
  type="conference paper"
}