CaltechAUTHORS
  A Caltech Library Service

Finding globally optimum solutions in antenna optimization problems

Babakhani, Aydin and Lavaei, Javad and Doyle, John C. and Hajimiri, Ali (2010) Finding globally optimum solutions in antenna optimization problems. In: 2010 IEEE Antennas and Propagation Society International Symposium (APSURSI). IEEE Antennas and Propagation Society International Symposium . IEEE , Piscataway, NJ, pp. 1-4. ISBN 978-1-4244-4967-5. https://resolver.caltech.edu/CaltechAUTHORS:20110425-110624129

[img]
Preview
PDF - Published Version
See Usage Policy.

258Kb

Use this Persistent URL to link to this item: https://resolver.caltech.edu/CaltechAUTHORS:20110425-110624129

Abstract

During the last decade, the unprecedented increase in the affordable computational power has strongly supported the development of optimization techniques for designing antennas. Among these techniques, genetic algorithm [1] and particle swarm optimization [2] could be mentioned. Most of these techniques use physical dimensions of an antenna as the optimization variables, and require solving Maxwell’s equations (numerically) at each optimization step. They are usually slow, unable to handle a large number of variables, and incapable of finding the globally optimum solutions. In this paper, we are proposing an antenna optimization technique that is orders of magnitude faster than the conventional schemes, can handle thousands of variables, and finds the globally optimum solutions for a broad range of antenna optimization problems. In the proposed scheme, termination impedances embedded on an antenna structure are used as the optimization variables. This is particularly useful in designing on-chip smart antennas, where thousands of transistors and variable passive elements can be employed to reconfigure an antenna. By varying these parasitic impedances, an antenna can vary its gain, band-width, pattern, and efficiency. The goal of this paper is to provide a systematic, numerically efficient approach for finding globally optimum solutions in designing smart antennas.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
http://dx.doi.org/10.1109/APS.2010.5561993 DOIUNSPECIFIED
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5561993PublisherUNSPECIFIED
ORCID:
AuthorORCID
Doyle, John C.0000-0002-1828-2486
Hajimiri, Ali0000-0001-6736-8019
Additional Information:© 2010 IEEE. Issue Date: 11-17 July 2010. Date of Current Version: 02 September 2010.
Other Numbering System:
Other Numbering System NameOther Numbering System ID
INSPEC Accession Number11514715
Series Name:IEEE Antennas and Propagation Society International Symposium
Record Number:CaltechAUTHORS:20110425-110624129
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20110425-110624129
Official Citation:Babakhani, A.; Lavaei, J.; Doyle, J.C.; Hajimiri, A.; , "Finding globally optimum solutions in antenna optimization problems," Antennas and Propagation Society International Symposium (APSURSI), 2010 IEEE , vol., no., pp.1-4, 11-17 July 2010 doi: 10.1109/APS.2010.5561993 URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5561993&isnumber=5560891
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:23447
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:31 May 2011 21:46
Last Modified:09 Mar 2020 13:18

Repository Staff Only: item control page