relation: http://www.eledia.org/students-reports/801/
title: Synthesis of Clustered Linear Arrays through a Total‐Variation Compressive Sensing Approach
creator: Anselmi, Nicola
creator: Gottardi, Giorgio
creator: Oliveri, Giacomo
creator: Massa, Andrea
subject: A WC Next Generation Wireless Communications
subject: M CS Compressive Sensing
description: A new methodology for the synthesis of linear clustered arrays is presented in this work. More in detail, the design is carried out within the compressive sensing (CS) framework by formulating the problem at hand as the search of the feeding network weights  with maximally‐sparse  gradient.  Accordingly,  the  problem  is  solved  thanks to a customized total‐variation CS (TV‐CS) method able to guarantee the matching of user‐defined  constraints  on  the  radiated  pattern  and  at  the  same  time  minimizing the  number  of  clusters  within  the  aperture.  Some  numerical  results  are  shown  to verify the effectiveness and the potentialities of the proposed methodology.
publisher: ELEDIA Research Center - University of Trento
type: Monograph
type: NonPeerReviewed
format: text
language: en
identifier: http://www.eledia.org/students-reports/801/1/Synthesis_of_Clustered_Linear_Arrays_through_a_Total-Variation_Compressive_Sensing_Approach.pdf
identifier:   Anselmi, Nicola and Gottardi, Giorgio and Oliveri, Giacomo and Massa, Andrea   Synthesis of Clustered Linear Arrays through a Total‐Variation Compressive Sensing Approach.  Technical Report. ELEDIA Research Center - University of Trento.