This work is aimed at reviewing through a detailed analysis the performances, the features, and the limitations of the BCS-based technique when dealing with reference and representative synthesis problems concerned with (a) real excitations and symmetrical patterns as well as (b) shaped-beam sparse arrays (i.e., complex excitations and asymmetrical pattern). The abstract is organized as follows. In Sect. II, the synthesis problem at hand is mathematically formulated as an example of a more general inversion problem and recast to the BCS framework. A set of representative results is presented to assess the potentialities and the current limitations of the synthesis approach.

Efficient synthesis of sparse arrays as the solution of an inversion problem within the Bayesian Compressive Sensing framework

Massa, Andrea;Rocca, Paolo;Carlin, Matteo;Oliveri, Giacomo
2012-01-01

Abstract

This work is aimed at reviewing through a detailed analysis the performances, the features, and the limitations of the BCS-based technique when dealing with reference and representative synthesis problems concerned with (a) real excitations and symmetrical patterns as well as (b) shaped-beam sparse arrays (i.e., complex excitations and asymmetrical pattern). The abstract is organized as follows. In Sect. II, the synthesis problem at hand is mathematically formulated as an example of a more general inversion problem and recast to the BCS framework. A set of representative results is presented to assess the potentialities and the current limitations of the synthesis approach.
2012
IEEE International Conference on Wireless Information Technology and Systems
Maui, U.S.A.
IEEE
Massa, Andrea; Rocca, Paolo; Carlin, Matteo; Oliveri, Giacomo
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/94434
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