A numerically-efficient technique based on the Bayesian compressive sampling (BCS) for the design of maximally-sparse linear arrays is introduced. The method is based on a probabilistic formulation of the array synthesis and it exploits a fast relevance vector machine (RVM) for the problem solution. The proposed approach allows the design of linear arrangements fitting desired power patterns with a reduced number of non-uniformly spaced active elements. The numerical validation assesses the effectiveness and computational efficiency of the proposed approach as a suitable complement to existing state-of-the-art techniques for the design of sparse arrays.
Bayesian compressive sampling for pattern synthesis with maximally sparse non-uniform linear arrays / Oliveri, Giacomo; Massa, Andrea. - In: IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION. - ISSN 0018-926X. - 59:2(2011), pp. 467-481.
Titolo: | Bayesian compressive sampling for pattern synthesis with maximally sparse non-uniform linear arrays |
Autori: | Oliveri, Giacomo; Massa, Andrea |
Autori Unitn: | |
Titolo del periodico: | IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION |
Anno di pubblicazione: | 2011 |
Numero e parte del fascicolo: | 2 |
Codice identificativo Scopus: | 2-s2.0-79551640353 |
Codice identificativo ISI: | WOS:000286931700015 |
Digital Object Identifier (DOI): | http://dx.doi.org/10.1109/TAP.2010.2096400 |
Handle: | http://hdl.handle.net/11572/85739 |
Citazione: | Bayesian compressive sampling for pattern synthesis with maximally sparse non-uniform linear arrays / Oliveri, Giacomo; Massa, Andrea. - In: IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION. - ISSN 0018-926X. - 59:2(2011), pp. 467-481. |
Appare nelle tipologie: | 03.1 Articolo su rivista (Journal article) |
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