TY  - RPRT
N2  - 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.
M1  - technical_report
UR  - http://www.eledia.org/students-reports/803/
TI  - Design of Linear Clustered Arrays with Non?Contiguous Sub?Arrays through a Total?Variation CS Method
PB  - ELEDIA Research Center - University of Trento
KW  - Clustered arrays
KW  -  linear arrays
KW  -  subarraying
KW  -  total-variation compressive sensing (TV-CS)
AV  - public
ID  - elediasc12803
A1  - Anselmi, Nicola
A1  - Gottardi, Giorgio
A1  - Oliveri, Giacomo
A1  - Massa, Andrea
ER  -