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.
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Titolo: | Efficient synthesis of sparse arrays as the solution of an inversion problem within the Bayesian Compressive Sensing framework |
Autori: | A. Massa; P. Rocca; M. Carlin; G. Oliveri |
Autori Unitn: | |
Titolo del volume contenente il saggio: | IEEE International Conference on Wireless Information Technology and Systems |
Luogo di edizione: | Maui, U.S.A. |
Casa editrice: | IEEE |
Anno di pubblicazione: | 2012 |
Codice identificativo Scopus: | 2-s2.0-84874267902 |
Codice identificativo ISI: | WOS:000314775300149 |
Handle: | http://hdl.handle.net/11572/94434 |
Appare nelle tipologie: | 04.1 Saggio in atti di convegno (Paper in proceedings) |