relation: http://www.eledia.org/students-reports/645/
title: A customized genetic algorithm for the synthesis of adaptive thinned array with constrained directivity
creator: Poli, L.
creator: Rocca, P.
creator: Salucci, M.
creator: Massa, A.
subject: M EA Evolutionary Algorithms
description: An innovative adaptive nulling strategy based on reconfigurable thinned arrays is studied in this report. A customized version of the genetic algorithms exploiting ad-hoc operators devoted to keep constant the number of elements instantaneously active is applied to optimize the on/off status of the switches to maximize the signal-to-interference-plus-noise ratio at the antenna output. The performances of the technique have been analyzed varying the number of array elements and the number of interferences within a static scenario.
publisher: University of Trento
date: 2014
type: Monograph
type: NonPeerReviewed
format: text
language: en
identifier: http://www.eledia.org/students-reports/645/1/A%20customized%20genetic%20algorithm%20for%20the%20synthesis%20of%20adaptive%20thinned%20array%20with%20constrained%20directivity.pdf
identifier:   Poli, L. and Rocca, P. and Salucci, M. and Massa, A.  (2014) A customized genetic algorithm for the synthesis of adaptive thinned array with constrained directivity.  Technical Report. University of Trento.