Title :
Synthesis of planar arrays through Bayesian Compressive Sensing
Author :
Oliveri, Giacomo ; Carlin, Matteo ; Massa, Andrea
Author_Institution :
ELEDIA Res. Center@DISI, Univ. of Trento, Trento, Italy
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.
Keywords :
Bayes methods; array signal processing; compressed sensing; probability; signal reconstruction; signal synthesis; BCS; Bayesian compressive sensing technique; RVM; probabilistic fashion; relevance vector machine; sparse planar array synthesis matching; Arrays; Bayesian methods; Compressed sensing; Pattern matching; Planar arrays;
Conference_Titel :
Antennas and Propagation Society International Symposium (APSURSI), 2012 IEEE
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4673-0461-0
DOI :
10.1109/APS.2012.6348915
