Genetic Algorithm Approach to Estimate Radar Cross Section of Dielectric Objects
Summary :
Genetic algorithm (GA) is a widely used numerical technique to simplify some analytical solutions in electromagnetic theory. Genetic algorithms can be combined with the geometric optics method to tackle electromagnetic scattering problems. This paper presents an extrapolation procedure, which derived, as a first step, a functional representation of the radar cross section (RCS) of three different dielectric objects that was computed via the Mie solution or the method of moments (MOM). An algorithm was employed to fit the scattering characteristics of dielectric objects at high frequencies.
- Publication
- IEICE TRANSACTIONS on Electronics Vol.E86-C No.11 pp.2237-2240
- Publication Date
- 2003/11/01
- Publicized
- Online ISSN
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- Type of Manuscript
- Special Section LETTER (Special Issue on Analytical and Simulation Methods for Electromagnetic Wave Problems)
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Elif AYDIN, K. Cem NAKIBOGLU, "Genetic Algorithm Approach to Estimate Radar Cross Section of Dielectric Objects" in IEICE TRANSACTIONS on Electronics,
vol. E86-C, no. 11, pp. 2237-2240, November 2003, doi: .
Abstract: Genetic algorithm (GA) is a widely used numerical technique to simplify some analytical solutions in electromagnetic theory. Genetic algorithms can be combined with the geometric optics method to tackle electromagnetic scattering problems. This paper presents an extrapolation procedure, which derived, as a first step, a functional representation of the radar cross section (RCS) of three different dielectric objects that was computed via the Mie solution or the method of moments (MOM). An algorithm was employed to fit the scattering characteristics of dielectric objects at high frequencies.
URL: https://global.ieice.org/en_transactions/electronics/10.1587/e86-c_11_2237/_p
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@ARTICLE{e86-c_11_2237,
author={Elif AYDIN, K. Cem NAKIBOGLU, },
journal={IEICE TRANSACTIONS on Electronics},
title={Genetic Algorithm Approach to Estimate Radar Cross Section of Dielectric Objects},
year={2003},
volume={E86-C},
number={11},
pages={2237-2240},
abstract={Genetic algorithm (GA) is a widely used numerical technique to simplify some analytical solutions in electromagnetic theory. Genetic algorithms can be combined with the geometric optics method to tackle electromagnetic scattering problems. This paper presents an extrapolation procedure, which derived, as a first step, a functional representation of the radar cross section (RCS) of three different dielectric objects that was computed via the Mie solution or the method of moments (MOM). An algorithm was employed to fit the scattering characteristics of dielectric objects at high frequencies.},
keywords={},
doi={},
ISSN={},
month={November},}
Copy
TY - JOUR
TI - Genetic Algorithm Approach to Estimate Radar Cross Section of Dielectric Objects
T2 - IEICE TRANSACTIONS on Electronics
SP - 2237
EP - 2240
AU - Elif AYDIN
AU - K. Cem NAKIBOGLU
PY - 2003
DO -
JO - IEICE TRANSACTIONS on Electronics
SN -
VL - E86-C
IS - 11
JA - IEICE TRANSACTIONS on Electronics
Y1 - November 2003
AB - Genetic algorithm (GA) is a widely used numerical technique to simplify some analytical solutions in electromagnetic theory. Genetic algorithms can be combined with the geometric optics method to tackle electromagnetic scattering problems. This paper presents an extrapolation procedure, which derived, as a first step, a functional representation of the radar cross section (RCS) of three different dielectric objects that was computed via the Mie solution or the method of moments (MOM). An algorithm was employed to fit the scattering characteristics of dielectric objects at high frequencies.
ER -
English
