This paper proposes an innovative approach to control phased arrays. Starting from the adaptive array theory, a particle swarm strategy is used to tune the phase coefficients of the array in order to adaptively minimize/avoid the effects of interfering signals at the receiver. The effectiveness of the proposed approach is assessed through a comparison with state-of-the-art methods. This is the author's version of the final version available at IEEE.

Frontiers in Multiple-Agents Evolutionary Techniques Applied to Adaptive Arrays Design / Azaro, Renzo; Massa, Andrea; Piffer, Stefano; Franceschini, Gabriele. - ELETTRONICO. - (2011).

Frontiers in Multiple-Agents Evolutionary Techniques Applied to Adaptive Arrays Design

Azaro, Renzo
Primo
;
Massa, Andrea
Penultimo
;
Franceschini, Gabriele
Secondo
2011-01-01

Abstract

This paper proposes an innovative approach to control phased arrays. Starting from the adaptive array theory, a particle swarm strategy is used to tune the phase coefficients of the array in order to adaptively minimize/avoid the effects of interfering signals at the receiver. The effectiveness of the proposed approach is assessed through a comparison with state-of-the-art methods. This is the author's version of the final version available at IEEE.
2011
Trento
Università degli Studi di Trento, Dipartimento di Ingegneria e Scienza dell'Informazione
Frontiers in Multiple-Agents Evolutionary Techniques Applied to Adaptive Arrays Design / Azaro, Renzo; Massa, Andrea; Piffer, Stefano; Franceschini, Gabriele. - ELETTRONICO. - (2011).
Azaro, Renzo; Massa, Andrea; Piffer, Stefano; Franceschini, Gabriele
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/359374
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