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. © 2005 IEEE.
Frontiers in multiple-agents evolutionary techniques applied to adaptive arrays design
Azaro, Renzo;Donelli, Massimo;De Natale, Francesco;Franceschini, Gabriele;Franceschini, Davide;Massa, Andrea;
2005-01-01
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. © 2005 IEEE.File in questo prodotto:
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