DocumentCode :
611629
Title :
Innovative GA-based strategy for polyomino tiling in phased array design
Author :
Chirikov, R. ; Rocca, Paolo ; Manica, Luca ; Santarelli, S. ; Mailloux, R.J. ; Massa, A.
Author_Institution :
ELEDIA Res. Center @ DISI, Univ. of Trento, Trento, Italy
fYear :
2013
fDate :
8-12 April 2013
Firstpage :
2216
Lastpage :
2219
Abstract :
This paper presents an innovative strategy to the design of sub-arrayed planar phased arrays with controlled sidelobe level on a wideband of operation. The tiling of the aperture is performed using sub-arrays of irregular shapes (polyominoes) and the optimization of the sub-array structure is carried out by means of ad-hoc procedure, named “snowball” algorithm, based on a binary Genetic Algorithm (GA). A set of representative examples is reported and discussed also in a comparative fashion with the solutions synthesized using previously proposed methods.
Keywords :
antenna phased arrays; genetic algorithms; planar antenna arrays; ad-hoc procedure; aperture tiling; binary GA; binary genetic algorithm; controlled sidelobe level; innovative GA-based strategy; polyomino tiling; snowball algorithm; subarray structure optimization; subarrayed planar phased array design; Apertures; Arrays; Biological cells; Genetic algorithms; Optimization; Phased arrays; genetic algorithm; optimization; phased antenna array; sub-array tiling; wideband antennas;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Antennas and Propagation (EuCAP), 2013 7th European Conference on
Conference_Location :
Gothenburg
Print_ISBN :
978-1-4673-2187-7
Electronic_ISBN :
978-88-907018-1-8
Type :
conf
Filename :
6546685
Link To Document :
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