TY  - THES
A1  - Mbonimba, N.
M1  - masters
PB  - University of Trento
KW  - DCM
N2  - The design of sparse arrays can be carried out with several techniques, including optimization approaches (GA, SA, PSO) and matrix-pencil techniques. Recently, the exploitation of Bayesian Compressive Sampling has been proposed as a powerful tool to design sparse arrays with arbitrary patterns. Such an approach essentially exploits the capability of BCS to reliably reconstruct arbitrary functions with a sub-Nyquist sampling. However, such a technique has been applied only to symmetric and real linear arrays, which represent only a specific case to be taken into account in practical scenarios. As a consequences, the objective of the activity will be that of analyzing the performances of the above methodology when dealing with linear complex and asymmetric patterns.
Y1  - 2012///
UR  - http://www.eledia.org/students-reports/96/
AV  - public
TI  - Synthesis of Sparse Complex Arrays by BCS
ID  - elediasc1296
ER  -