DocumentCode
2050648
Title
Concentric Circular Antenna Array synthesis using a differential Invasive Weed Optimization algorithm
Author
Pal, Shovon ; Basak, Abhishek ; Das, S. ; Abraham, Ajith ; Zelinka, Ivan
Author_Institution
Dept. of Electron. & Telecommun. Eng., Jadavpur Univ., Kolkata, India
fYear
2010
fDate
7-10 Dec. 2010
Firstpage
395
Lastpage
400
Abstract
Concentric Circular Antenna Array (CCAA) has several interesting features that makes it indispensable in mobile and communication applications. Here we have considered a uniform arrangement of elements where the inter-element spacing is kept half a wavelength. The main aim is to reduce the sidelobe levels and the primary lobe beamwidth as much as possible. Central to our design is a hybridization of two prominent metaheuristics of current interest namely the Invasive Weed Optimization (IWO) and Differential Evolution (DE). The results of the DIWO algorithm have been shown to perform better then other state-of-the-art metaheuristics like the Particle Swarm Optimization (PSO), DE and IWO.
Keywords
antenna arrays; antenna theory; evolutionary computation; DIWO algorithm; concentric circular antenna array synthesis; differential evolution; differential invasive weed optimization algorithm; mobile communication application; particle swarm optimization; primary lobe beamwidth; state-of-the-art metaheuristics; Algorithm design and analysis; Antenna arrays; Antenna radiation patterns; Arrays; Indexes; Optimization; Pattern recognition; Antenna array; concentric circular arrays; differential evolution; invasive weed optimization; metaheuristics;
fLanguage
English
Publisher
ieee
Conference_Titel
Soft Computing and Pattern Recognition (SoCPaR), 2010 International Conference of
Conference_Location
Paris
Print_ISBN
978-1-4244-7897-2
Type
conf
DOI
10.1109/SOCPAR.2010.5686527
Filename
5686527
Link To Document