Ultra-wideband cylindrical antenna design using the Green's function method (GFM) as an absorbing boundary condition (ABC) and the radiated field propagator in a genetic optimization

R. Holtzman; R. Kastner; E. Heyman; R. W. Ziolkowski

doi:10.1002/mop.21346

Ultra-wideband cylindrical antenna design using the Green's function method (GFM) as an absorbing boundary condition (ABC) and the radiated field propagator in a genetic optimization

R. Holtzman, R. Kastner, E. Heyman, R. W. Ziolkowski

Research output: Contribution to journal › Article › peer-review

10 Scopus citations

Abstract

An ultra-wideband antenna is designed using genetic optimization and the finite-difference-time-domain (FDTD) method. Efficiency is enhanced by using the Green's function method (GFM) as an absorbing boundary condition (ABC) close to the antenna surface, and as a propagator to the radiated field at any observation point at each iteration step.

Original language	English (US)
Pages (from-to)	348-354
Number of pages	7
Journal	Microwave and Optical Technology Letters
Volume	48
Issue number	2
DOIs	https://doi.org/10.1002/mop.21346
State	Published - Feb 2006
Externally published	Yes

Keywords

Absorbing boundary conditions
Finite-difference-time-domain
Green's function method
Ultra-wideband antennas

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Atomic and Molecular Physics, and Optics
Condensed Matter Physics
Electrical and Electronic Engineering

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10.1002/mop.21346

Cite this

Ultra-wideband cylindrical antenna design using the Green's function method (GFM) as an absorbing boundary condition (ABC) and the radiated field propagator in a genetic optimization. / Holtzman, R.; Kastner, R.; Heyman, E. et al.
In: Microwave and Optical Technology Letters, Vol. 48, No. 2, 02.2006, p. 348-354.

Research output: Contribution to journal › Article › peer-review

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Ultra-wideband cylindrical antenna design using the Green's function method (GFM) as an absorbing boundary condition (ABC) and the radiated field propagator in a genetic optimization

Abstract

Keywords

ASJC Scopus subject areas

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