DocumentCode
1463086
Title
Hybrid ADS-Based Techniques for Radio Astronomy Array Design
Author
Oliveri, Giacomo ; Caramanica, Federico ; Massa, Andrea
Author_Institution
Dept. of Inf. Eng. & Comput. Sci., Univ. of Trento, Trento, Italy
Volume
59
Issue
6
fYear
2011
fDate
6/1/2011 12:00:00 AM
Firstpage
1817
Lastpage
1827
Abstract
A set of techniques are presented that are based on the exploitation of low correlation sequences called Almost Difference Sets (ADSs) to design correlator arrays for radio astronomy applications. Three approaches are discussed with different objectives and performances. ADS-based analytical designs, GA -optimized arrangements, and PSO optimized arrays are presented and applied to the synthesis of open-ended "Y" and "Cross" array configurations to maximize the u - v coverage or to minimize the peak sidelobe level (PSL). Representative numerical results are illustrated to point out the features and performances of the proposed approaches, and to assess their effectiveness in comparison with state-of-the-art design methodologies, as well. The presented analysis indicates that the proposed approaches overcome existing PSO-based correlator arrays in terms of PSL control (e.g., >; 1.0 dB reduction) and tracking u - v coverage (e.g., up to 2% enhancement), also improving the speed of convergence of the synthesis process.
Keywords
genetic algorithms; particle swarm optimisation; radioastronomical techniques; set theory; Cross array configuration; GA-optimized arrangements; PSO optimized arrays; PSO-based correlator arrays; Y array configuration; almost difference sets; hybrid ADS-based techniques; peak sidelobe level; radio astronomy array design; u-v coverage; Arrays; Convergence; Correlators; Cost function; Lattices; Layout; $u-v$ coverage; Almost difference sets; correlator array antennas; genetic algorithms; particle swarm optimizer; radio astronomy;
fLanguage
English
Journal_Title
Antennas and Propagation, IEEE Transactions on
Publisher
ieee
ISSN
0018-926X
Type
jour
DOI
10.1109/TAP.2011.2122228
Filename
5722991
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