Genetic algorithm (GA)-enhanced almost difference set (ADS)-based approach for array thinning

This study proposes a genetic algorithm (GA)-enhanced almost difference set (ADS)-based methodology to design thinned linear arrays with low-peak sidelobe levels (PSLs). The method allows one to overcome the limitations of the standard ADS approach in terms of flexibility and performances. The numer...

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Bibliographic Details
Published inIET microwaves, antennas & propagation Vol. 5; no. 3; pp. 305 - 315
Main Authors OLIVERI, G, MASSA, A
Format Journal Article
LanguageEnglish
Published Stevenage Institution of Engineering and Technology 01.02.2011
The Institution of Engineering & Technology
Subjects
Antennas
Applied sciences
Arrays
Electromagnetism
Engineering Sciences
Exact sciences and technology
Flexibility
Genetic algorithms
Linear arrays
Mathematical models
Radiocommunications
Sidelobes
Signal and Image processing
Telecommunications
Telecommunications and information theory
Thinning
Performance evaluation
Lateral lobe
Genetic algorithm
Narrow band signal
Evolutionary algorithm
Linear array
Far field
Difference set
Linear antenna arrays
Computational complexity
Flexibility
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Summary:This study proposes a genetic algorithm (GA)-enhanced almost difference set (ADS)-based methodology to design thinned linear arrays with low-peak sidelobe levels (PSLs). The method allows one to overcome the limitations of the standard ADS approach in terms of flexibility and performances. The numerical validation, carried out in the far-field and for narrow-band signals, points out that with affordable computational efforts it is possible to design array arrangements that outperform standard ADS-based designs as well as standard GA approaches.
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ISSN:1751-8725
1751-8733
DOI:10.1049/iet-map.2010.0114