relation: http://www.eledia.org/students-reports/646/
title: Reconfigurable thinning for the maximization of the SINR in adaptive linear arrays
creator: Poli, L.
creator: Rocca, P.
creator: Salucci, M.
creator: Massa, A.
subject: M EA Evolutionary Algorithms
description: In this report, an easily-reconfigurable and low-complexity antenna architecture is considered where a set of radio-frequency switches is exploited to either connect or disconnect the array elements for controlling the radiation pattern and generating deep nulls along the directions-of-arrival of the undesired signals. The mathematical formulation together with a preliminary validation of the adaptive nulling strategy are proposed.
publisher: University of Trento
date: 2014
type: Monograph
type: NonPeerReviewed
format: text
language: en
identifier: http://www.eledia.org/students-reports/646/1/Reconfigurable%20thinning%20for%20the%20maximization%20of%20the%20SINR%20in%20adaptive%20linear%20arrays.pdf
identifier:   Poli, L. and Rocca, P. and Salucci, M. and Massa, A.  (2014) Reconfigurable thinning for the maximization of the SINR in adaptive linear arrays.  Technical Report. University of Trento.