%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.
%D 2012
%A E. T. Bekele
%I University of Trento
%K DCM
%L elediasc1297
%T Sparse Conformal Array Synthesis exploiting Bayesian Compressive Sensing