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.

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. [10.1049/iet-map.2010.0114]

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

Oliveri, Giacomo;Massa, Andrea
2011-01-01

Abstract

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.
2011
3
Oliveri, Giacomo; Massa, Andrea
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. [10.1049/iet-map.2010.0114]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/89696
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