relation: http://www.eledia.org/students-reports/803/
title: Design of Linear Clustered Arrays with Non‐Contiguous Sub‐Arrays through a Total‐Variation CS Method
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: In this work, the design of linear clustered arrays is addressed by means of a novel compressive  sensing  (CS)  methodology.  More  in  detail,  the  synthesis  of  the beamforming network (BFN) is recast within a total‐variation (TV) formulation aimed at  minimizing  the  discrete  gradient  of  the  array  excitation  weights.  A  set  of representative results is reported to verify the effectiveness of the proposed TV‐CS methodology  when  dealing  with  the  design  of  linear  arrays  with  non‐contiguous clusters.
publisher: ELEDIA Research Center - University of Trento
type: Monograph
type: NonPeerReviewed
format: text
language: en
identifier: http://www.eledia.org/students-reports/803/1/Design_of_Linear_Clustered_Arrays_with_Non-Contiguous_Sub-Arrays_through_a_Total-Variation_CS_Method.pdf
identifier:   Anselmi, Nicola and Gottardi, Giorgio and Oliveri, Giacomo and Massa, Andrea   Design of Linear Clustered Arrays with Non‐Contiguous Sub‐Arrays through a Total‐Variation CS Method.  Technical Report. ELEDIA Research Center - University of Trento.