DocumentCode :
2665107
Title :
Prediction of Scattered Field from Linearly Loaded Dipole Antenna Using Fuzzy Inference
Author :
Ostadzadeh, S.R. ; Tayarani, M. ; Soleimani, M.
Author_Institution :
Iran Univ. of Sci. & Technol., Tehran, Iran
fYear :
2008
fDate :
10-12 Dec. 2008
Firstpage :
941
Lastpage :
945
Abstract :
In this paper, our fuzzy-based approach is used to predict scattered field from linearly loaded dipole antenna. At first, knowledge bases of diameter for unloaded scattering dipole antenna and impedance loading for thin scattering dipole antenna are separately extracted as very simple curves. In extracting these knowledge bases, the behavior of scattering dipole antenna is well approximated to the behavior of single transmitting dipole antenna. Then using concept of special membership functions, two knowledge bases are combined so that the spatial knowledge base of scattering dipole antenna including diameter and impedance loading effects is extracted. Finally, comparing fuzzy modeling results with method of moments, MoM shows an excellent agreement. Moreover, the execution time is considerably reduced.
Keywords :
approximation theory; dipole antennas; electrical engineering computing; fuzzy set theory; inference mechanisms; knowledge based systems; fuzzy inference; fuzzy modeling; impedance loading; linearly loaded dipole antenna; scattered field prediction; thin scattering dipole antenna; unloaded scattering dipole antenna; Antenna measurements; Dipole antennas; Directive antennas; Impedance; Length measurement; Loaded antennas; Moment methods; Receiving antennas; Scattering; Transmitting antennas; Fuzzy inference; Loaded dipole;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence for Modelling Control & Automation, 2008 International Conference on
Conference_Location :
Vienna
Print_ISBN :
978-0-7695-3514-2
Type :
conf
DOI :
10.1109/CIMCA.2008.16
Filename :
5172752
Link To Document :
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