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

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

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    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.

    Item Type: Departmental Technical Report
    Department or Research center: Information Engineering and Computer Science
    Subjects: Q Science > QC Physics (General) > QC661 Electromagnetic Theory
    Q Science > QC Physics (General) > QC760 Electromagnetism
    Report Number: DISI-11-273
    Repository staff approval on: 04 Aug 2011

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