2011
DOI: 10.1049/iet-map.2010.0204
|View full text |Cite
|
Sign up to set email alerts
|

Design of non-uniform circular antenna arrays using biogeography-based optimisation

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

1
81
0

Year Published

2013
2013
2020
2020

Publication Types

Select...
6
1

Relationship

0
7

Authors

Journals

citations
Cited by 51 publications
(82 citation statements)
references
References 17 publications
1
81
0
Order By: Relevance
“…The proposed technique is different from [4][5][6][7][8][9][10][11] in the sense that the authors here considered the length of parasitic elements and spacing between the parasitic elements as design variables to obtain the desired requirements keeping the position and length of active element fixed. Moreover, this technique is different from [4][5][6][7][8][9][10][11] in the sense that authors here considered real antennas including mutual coupling effect. In addition to it, coupling effect is also compensated by minimizing the reflection coefficient of the driven element to the specified value.…”
Section: Major Contribution Of the Proposed Workmentioning
confidence: 99%
See 2 more Smart Citations
“…The proposed technique is different from [4][5][6][7][8][9][10][11] in the sense that the authors here considered the length of parasitic elements and spacing between the parasitic elements as design variables to obtain the desired requirements keeping the position and length of active element fixed. Moreover, this technique is different from [4][5][6][7][8][9][10][11] in the sense that authors here considered real antennas including mutual coupling effect. In addition to it, coupling effect is also compensated by minimizing the reflection coefficient of the driven element to the specified value.…”
Section: Major Contribution Of the Proposed Workmentioning
confidence: 99%
“…5: Update gbest of particles and its coordinates, if the present fitness value of the particle in the overall population is superior to global best (gbest). 6: The parameter VLf is the local attractor of each d th dimension and i th particle and it is computed by equation (6).…”
Section: Overview Of Qpso Algorithmmentioning
confidence: 99%
See 1 more Smart Citation
“…There are a number of different nature inspired methods that have been used for antenna array synthesis. Among them are genetic algorithms (GA) [1,2], differential evolution (DE) [2][3][4], ant colony optimization (ACO) [5,6], particle swarm optimization (PSO) [7][8][9][10][11][12][13][14][15][16], modified invasive weed optimization (MIWO) [17], firefly algorithm (FA) [18][19][20], biogeography based optimization (BBO) [21][22][23][24] and cuckoo search (CS) [25]. These methods perform better and provide more flexible results than the classical methods for antenna array synthesis.…”
Section: Introductionmentioning
confidence: 99%
“…Hence the synthesis of the circular arrays is under active research by many groups. The GA [2], PSO [12], HDLPSO [13], and MIWO [17], FA [20] and BBO [22] techniques have been used for finding the element amplitudes and positions that provide a radiation pattern with maximal SLL reduction with a constraint of beam width.…”
Section: Introductionmentioning
confidence: 99%