DocumentCode :
247175
Title :
The use of inverse neural networks in transmitarray antenna design
Author :
Gosal, G. ; McNamara, Derek A. ; Yagoub, M.C.E.
Author_Institution :
Sch. of Electr. Eng. & Comput. Sci., Univ. of Ottawa, Ottawa, ON, Canada
fYear :
2014
fDate :
6-11 July 2014
Firstpage :
1272
Lastpage :
1273
Abstract :
The design of transmitarray antennas usually utilizes a database consisting of the complex transmission coefficient values of an element as a function of its controllable geometrical features. In the design process this database needs to be “inverted” so that transmission coefficients can be input and geometrical feature values output. When more than one such feature applies the latter process is not entirely straightforward, but inverse neural networks can be used for such purposes.
Keywords :
antenna arrays; inverse problems; lens antennas; neural nets; transmitting antennas; inverse neural networks; transmission coefficient values; transmitarray antenna design; Artificial neural networks; Databases; Lenses; Microwave antennas; Reflector antennas; Transmitting antennas;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Antennas and Propagation Society International Symposium (APSURSI), 2014 IEEE
Conference_Location :
Memphis, TN
ISSN :
1522-3965
Print_ISBN :
978-1-4799-3538-3
Type :
conf
DOI :
10.1109/APS.2014.6904963
Filename :
6904963
Link To Document :
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