relation: http://www.eledia.org/students-reports/305/
title: Frontiers in Multiple-Agents Evolutionary Techniques Applied to Adaptive Arrays Design
creator: Azaro, Renzo
creator: Franceschini, Gabriele
creator: Massa, Andrea
creator: Piffer, Stefano
subject: TU Technical Reports and Publications
description: 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.
date: 2011-01
type: Technical Report
type: NonPeerReviewed
format: application/pdf
language: en
identifier: http://www.eledia.org/students-reports/305/1/DISI-11-273.C92.pdf
identifier:   Azaro, Renzo and Franceschini, Gabriele and Massa, Andrea and Piffer, Stefano  (2011) Frontiers in Multiple-Agents Evolutionary Techniques Applied to Adaptive Arrays Design.  [Technical Report]