A strategy based on a genetic algorithm (GA) for the synthesis of adaptive thinned arrays is presented in this paper aimed to receive a desired signal maximizing the signal-to-noise-plus-interference ratio (SINR). Nulls or very-low sidelobes are placed in the directions of the interferences. Moreover, additional constraints on the number of active elements are considered to obtain a desired directivity. A set of preliminary results is reported to show the effectiveness of the proposed approach.
GA-based adaptive thinning strategy for pattern nulling in linear arrays
Rocca, Paolo;Poli, Lorenzo;Oliveri, Giacomo;Massa, Andrea
2012-01-01
Abstract
A strategy based on a genetic algorithm (GA) for the synthesis of adaptive thinned arrays is presented in this paper aimed to receive a desired signal maximizing the signal-to-noise-plus-interference ratio (SINR). Nulls or very-low sidelobes are placed in the directions of the interferences. Moreover, additional constraints on the number of active elements are considered to obtain a desired directivity. A set of preliminary results is reported to show the effectiveness of the proposed approach.File in questo prodotto:
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