%0 Thesis
%9 Masters
%A Bekele, E. T.
%B ELEDIA Research Center@DISI
%D 2012
%F elediasc12:97
%I University of Trento
%K DCM
%T Sparse Conformal Array Synthesis exploiting Bayesian Compressive Sensing
%U http://www.eledia.org/students-reports/97/
%X 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 linear apertures, 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 extending the above methodology to conformal apertures.