@techreport{elediasc12803,
       publisher = {ELEDIA Research Center - University of Trento},
            type = {Technical Report},
          author = {Nicola Anselmi and Giorgio Gottardi and Giacomo Oliveri and Andrea Massa},
           title = {Design of Linear Clustered Arrays with Non?Contiguous Sub?Arrays through a Total?Variation CS Method},
        keywords = {Clustered arrays, linear arrays, subarraying, total-variation compressive sensing (TV-CS)},
             url = {http://www.eledia.org/students-reports/803/},
        abstract = {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.}
}