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.



Titolo: Genetic algorithm (GA)-enhanced almost difference set (ADS)-based approach for array thinning
Autori: Oliveri, Giacomo; Massa, Andrea
Autori Unitn: 
Oliveri, Giacomo
Massa, Andrea
Titolo del periodico: IET MICROWAVES, ANTENNAS & PROPAGATION
Anno di pubblicazione: 2011
Numero e parte del fascicolo: 3
Codice identificativo Scopus: 2-s2.0-79951519076
Codice identificativo ISI: WOS:000287299300008
Digital Object Identifier (DOI): 10.1049/iet-map.2010.0114
Handle: http://hdl.handle.net/11572/89696
Citazione: Genetic algorithm (GA)-enhanced almost difference set (ADS)-based approach for array thinning / Oliveri, Giacomo; Massa, Andrea. - In: IET MICROWAVES, ANTENNAS & PROPAGATION. - ISSN 1751-8725. - 5:3(2011), pp. 305-315.
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