Synthesis of Clustered Linear Arrays through a Total‐Variation Compressive Sensing Approach

Anselmi, Nicola and Gottardi, Giorgio and Oliveri, Giacomo and Massa, Andrea Synthesis of Clustered Linear Arrays through a Total‐Variation Compressive Sensing Approach. Technical Report. ELEDIA Research Center - University of Trento.

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Abstract

A new methodology for the synthesis of linear clustered arrays is presented in this work. More in detail, the design is carried out within the compressive sensing (CS) framework by formulating the problem at hand as the search of the feeding network weights with maximally‐sparse gradient. Accordingly, the problem is solved thanks to a customized total‐variation CS (TV‐CS) method able to guarantee the matching of user‐defined constraints on the radiated pattern and at the same time minimizing the number of clusters within the aperture. Some numerical results are shown to verify the effectiveness and the potentialities of the proposed methodology.

Item Type: Monograph (Technical Report)
Uncontrolled Keywords: Clustered arrays, linear arrays, subarraying, total-variation compressive sensing (TV-CS)
Subjects: A Areas > A WC Next Generation Wireless Communications
M Methodologies > M CS Compressive Sensing
URI: http://www.eledia.org/students-reports/id/eprint/801

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