By Topic

Neural-genetic optimization applied to the design of UWB planar antennas

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Dubrovka, F.F. ; Nat. Tech. Univ. of Ukraine, Kiev ; Vasylenko, D.O.

A novel concept of neural-genetic optimization is presented as applied to ultrawideband planar antennas of ldquobow-tierdquo type with respect to specified values of antenna performance (return loss and gain) in the frequency range 3.1-10.6 GHz. The goal of the optimization is achieved by properly modifying the radiating contour profile of the conventional triangular taper of the bow-tie antenna. The key feature of the optimization is an inversion of artificial neural networks (ANN) with a modular architecture using genetic algorithm (GA). An optimized prototype antenna shows a good impedance matching (return loss < -10 dB) and gain performance (increase from 2 to 5 dB) over the whole frequency range.

Published in:

Ultrawideband and Ultrashort Impulse Signals, 2008. UWBUSIS 2008. 4th International Conference on

Date of Conference:

15-19 Sept. 2008