Ant Colony Optimization in Thinned Array Synthesis With Minimum Sidelobe Level

The synthesis of unequally spaced large arrays is computationally unapproachable without using an optimization technique. In complex structures, gradient implementations converge to local minima and cannot be used to obtain a desired solution. Thus, global search methods are necessary to get specifi...

Full description

Saved in:
Bibliographic Details
Published inIEEE antennas and wireless propagation letters Vol. 5; no. 1; pp. 349 - 352
Main Authors Quevedo-Teruel, O., Rajo-Iglesias, E.
Format Journal Article
LanguageEnglish
Published New York IEEE 2006
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Ant colony optimization
Ant colony optimization (ACO)
Antenna arrays
array synthesis
Genetic algorithms
Impedance
Microwave antenna arrays
Network synthesis
Optimization methods
Planar arrays
Search methods
thinned array
Transmitting antennas
Online AccessGet full text
ISSN1536-1225
1548-5757
DOI10.1109/LAWP.2006.880693

Cover

More Information
Summary:The synthesis of unequally spaced large arrays is computationally unapproachable without using an optimization technique. In complex structures, gradient implementations converge to local minima and cannot be used to obtain a desired solution. Thus, global search methods are necessary to get specific design characteristics. In this letter, we propose the ant colony optimization (ACO) as an useful alternative in the thinned array design, using the sidelobe level (SLL) as the desirability parameter. Some examples have been proposed and solved to demonstrate the functionality of this technique for both linear and planar arrays
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 14
ISSN:1536-1225
1548-5757
DOI:10.1109/LAWP.2006.880693