DocumentCode
3028347
Title
A Novel Particle Swarm Optimization Based Optimal Design of Three-Ring Concentric Circular Antenna Array
Author
Mandal, D. ; Bhattacharjee, A.K. ; Ghoshal, S.P.
Author_Institution
Nat. Inst. of Technol., Electron. & Commun. Eng., Durgapur, India
fYear
2009
fDate
28-29 Dec. 2009
Firstpage
385
Lastpage
389
Abstract
In this paper the maximum sidelobe level (SLL) reductions without and with central element feeding in various designs of three-ring concentric circular antenna arrays (CCAA) are examined using a novel particle swarm optimization algorithm (NPSO) to finally determine the global optimal CCAA design. Real coded Genetic Algorithm (RGA) is also employed for comparative optimization but it proves to be suboptimal. The present paper assumes non-uniform excitations and uniform spacing of excitation elements in each three-ring CCAA design. Among the various CCAA designs, the three-ring CCAA containing central element and 4, 6 and 8 elements in three successive concentric rings proves to be such global optimal design with global minimum SLL (-19.69dB) determined by NPSO.
Keywords
antenna arrays; antenna feeds; antenna radiation patterns; genetic algorithms; particle swarm optimisation; CCAA; PSO; RGA; Real coded Genetic Algorithm; SLL reductions; central element feeding; optimal design; particle swarm optimization; sidelobe level; three-ring concentric circular antenna array; Algorithm design and analysis; Antenna arrays; Antenna feeds; Antenna radiation patterns; Chemical elements; Design optimization; Equations; Genetic algorithms; Particle swarm optimization; Telecommunication computing; Concentric Circular Antenna Array; Non-uniform Excitation; Novel Particle Swarm Optimization; Real Coded Genetic Algorithm; Sidelobe Level;
fLanguage
English
Publisher
ieee
Conference_Titel
Advances in Computing, Control, & Telecommunication Technologies, 2009. ACT '09. International Conference on
Conference_Location
Trivandrum, Kerala
Print_ISBN
978-1-4244-5321-4
Electronic_ISBN
978-0-7695-3915-7
Type
conf
DOI
10.1109/ACT.2009.101
Filename
5376618
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