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, RenzoPrimo
;Massa, AndreaPenultimo
;Franceschini, GabrieleSecondo
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.File | Dimensione | Formato | |
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