@techreport{elediasc12801,
            type = {Technical Report},
           title = {Synthesis of Clustered Linear Arrays through a Total?Variation Compressive Sensing Approach},
          author = {Nicola Anselmi and Giorgio Gottardi and Giacomo Oliveri and Andrea Massa},
       publisher = {ELEDIA Research Center - University of Trento},
             url = {http://www.eledia.org/students-reports/801/},
        keywords = {Clustered arrays, linear arrays, subarraying, total-variation compressive sensing (TV-CS)},
        abstract = {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.}
}