2005 IEEE Antennas and Propagation Society International Symposium
DOI: 10.1109/aps.2005.1551673
|View full text |Cite
|
Sign up to set email alerts
|

Optimization of Peano-Gosper fractal arrays for broadband performance using genetic algorithms to eliminate grating lobes during scanning

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
3
0

Publication Types

Select...
3
1

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(3 citation statements)
references
References 4 publications
0
3
0
Order By: Relevance
“…The published reviews provide a fairly comprehensive overview of fractal antennas designing research . These studies can be divided into two categories: the first deals with the study of fractal antenna elements (examples of microstrip antennas studies) and the second, deals with use of fractals in antenna arrays design (examples of fractal antenna arrays studies).…”
Section: Introductionmentioning
confidence: 99%
“…The published reviews provide a fairly comprehensive overview of fractal antennas designing research . These studies can be divided into two categories: the first deals with the study of fractal antenna elements (examples of microstrip antennas studies) and the second, deals with use of fractals in antenna arrays design (examples of fractal antenna arrays studies).…”
Section: Introductionmentioning
confidence: 99%
“…In contrast to the traditional definition of a Gosper curve, this new Gosper curve is called a node-Gosper curve [2,3]. Originally, the Gosper curve was mainly applied in the design of communication antennas, as in [7,8], and occasionally in visual image processing, as in [9]. Recently, the node-Gosper curve has been successfully applied to solve the mobile anchor localization problems of WSNs [3].…”
Section: Definitions Of Node-gosper Islands and Node-gospermentioning
confidence: 99%
“…They have been proven efficient to finding the proper excitations or the suitable division of the arrays in sub-arrays in order the antenna to produce a desired radiation pattern with respect to the SLL and the directions of the nulls or to optimize the antenna by broadening the frequency bandwidth [11,[15][16][17][33][34][35]. GAs have also been used to thin an array [18], in combination with Particle Swarm Optimization Technique to modify sparse arrays [21] or to modify fractal arrays [29,36]. In all cases the target was the achievement of special performance features.…”
Section: Optimization By Genetic Algorithmsmentioning
confidence: 99%