The synthesis of sparse planar arrays matching a desired pattern is addressed by means of an innovative compressive sensing technique, namely the Bayesian Compressive Sensing (BCS). A relevance vector machine (RVM) is employed for computing the solution of the design problem formulated in a probabilistic fashion. A set of preliminary synthesis examples is provided to assess the features of the proposed method.
Synthesis of Planar Arrays through Bayesian Compressive Sensing
Oliveri, Giacomo;Carlin, Matteo;Massa, Andrea
2012-01-01
Abstract
The synthesis of sparse planar arrays matching a desired pattern is addressed by means of an innovative compressive sensing technique, namely the Bayesian Compressive Sensing (BCS). A relevance vector machine (RVM) is employed for computing the solution of the design problem formulated in a probabilistic fashion. A set of preliminary synthesis examples is provided to assess the features of the proposed method.File in questo prodotto:
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