Cart (Loading....) | Create Account
Close category search window
 

Adaptive radiation pattern optimization for antenna arrays by phase perturbations using particle swarm optimization

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

3 Author(s)
Zuniga, V. ; Sch. of Eng., Univ. of Edinburgh, Edinburgh, UK ; Erdogan, A.T. ; Arslan, T.

In this paper, an optimal radiation pattern is obtained for a linear antenna array using the particle swarm optimization technique. A set of phase shift weights are generated in order to steer the beam towards any desired direction while keeping nulls in the direction of interferers. The fitness function that allows the calculations of the phase shift weights is presented. A comparison between the standard genetic algorithm and the particle swarm optimization was studied and the results show that the latter achieves a better and more consistent radiation pattern than the GA. Moreover, a number of experiments show that the PSO is capable of solving the problem using less number of fitness function evaluations in average.

Published in:

Adaptive Hardware and Systems (AHS), 2010 NASA/ESA Conference on

Date of Conference:

15-18 June 2010

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.