Sparse Conformal Array Synthesis exploiting Bayesian Compressive Sensing

Bekele, E. T. (2012) Sparse Conformal Array Synthesis exploiting Bayesian Compressive Sensing. Masters thesis, University of Trento.

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Abstract

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.

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