TY  - RPRT
N2  - 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).
M1  - technical_report
UR  - http://www.eledia.org/students-reports/802/
TI  - A Sparseness?Promoting Total?Variation Approach for the Design of Linear Clustered Phased Arrays
KW  - Clustered arrays
KW  -  linear arrays
KW  -  subarraying
KW  -  total-variation compressive sensing (TV-CS)
PB  - ELEDIA Research Center - University of Trento
AV  - public
ID  - elediasc12802
A1  - Anselmi, Nicola
A1  - Gottardi, Giorgio
A1  - Oliveri, Giacomo
A1  - MASSA, Andrea
ER  -