In this work the problem of synthesizing the excitations of a linear array, clustered into contiguous sub-arrays of irregular length, is addressed. By suitably exploiting the behavior of clustered array aperture distributions (i.e., step-wise discrete functions), the problem has been formulated as the minimization of the total variation (TV) of the excitations, satisfying a matching condition on a predefined reference pattern. In virtue of the sparse nature of the unknowns, the minimization problem has been solved by means of an efficient total variation compressive sensing (TV-CS) optimization approach. A simple example validating the proposed technique is finally reported.

Synthesis of Clustered Linear Arrays Through a Total Variation Compressive Sensing Approach / Anselmi, N.; Oliveri, G.; Massa, And A.. - STAMPA. - (2017), pp. 862-864. ((Intervento presentato al convegno 11th European Conference on Antennas and Propagation (EUCAP), 2017 tenutosi a Parigi nel 19th-24nd March 2017 [10.23919/EuCAP.2017.7928540].

Synthesis of Clustered Linear Arrays Through a Total Variation Compressive Sensing Approach

N. Anselmi;G. Oliveri;And A. Massa
2017

Abstract

In this work the problem of synthesizing the excitations of a linear array, clustered into contiguous sub-arrays of irregular length, is addressed. By suitably exploiting the behavior of clustered array aperture distributions (i.e., step-wise discrete functions), the problem has been formulated as the minimization of the total variation (TV) of the excitations, satisfying a matching condition on a predefined reference pattern. In virtue of the sparse nature of the unknowns, the minimization problem has been solved by means of an efficient total variation compressive sensing (TV-CS) optimization approach. A simple example validating the proposed technique is finally reported.
2017 11th European Conference on Antennas and Propagation (EUCAP 2017)
Piscataway, NJ
IEEE
978-1-5090-3742-1
Anselmi, N.; Oliveri, G.; Massa, And A.
Synthesis of Clustered Linear Arrays Through a Total Variation Compressive Sensing Approach / Anselmi, N.; Oliveri, G.; Massa, And A.. - STAMPA. - (2017), pp. 862-864. ((Intervento presentato al convegno 11th European Conference on Antennas and Propagation (EUCAP), 2017 tenutosi a Parigi nel 19th-24nd March 2017 [10.23919/EuCAP.2017.7928540].
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11572/188998
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