relation: http://www.eledia.org/students-reports/802/
title: A Sparseness‐Promoting Total‐Variation Approach for the Design of Linear Clustered Phased Arrays
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: This  work  deals  with  the  design  of  contiguously  clustered  linear  phased  arrays matching user‐defined requirements in terms of far‐field radiated pattern. Towards this aim, a novel total‐variation compressive sensing (TV‐CS) methodology has been developed  and  customized  to  the  problem  at  hand  such  that  the  sparsity  of  the gradient  of  the  array  excitations  is  maximized.  Thanks  to  such  an  approach,  it  is possible to obtain highly‐performing designs with a reduced number of sub‐arrays. Some  numerical  results  are  shown  to  assess  the  proposed  TV‐CS  method  when dealing  with  the  clustering  of  linear  arrays  radiating  Taylor  patterns  with  different requirements on the side‐lobe level (SLL).
publisher: ELEDIA Research Center - University of Trento
type: Monograph
type: NonPeerReviewed
format: text
language: en
identifier: http://www.eledia.org/students-reports/802/1/A_Sparseness-Promoting_Total-Variation_Approach_for_the_Design_of_Linear_Clustered_Phased_Arrays.pdf
identifier:   Anselmi, Nicola and Gottardi, Giorgio and Oliveri, Giacomo and MASSA, Andrea   A Sparseness‐Promoting Total‐Variation Approach for the Design of Linear Clustered Phased Arrays.  Technical Report. ELEDIA Research Center - University of Trento.