A Sparseness‐Promoting Total‐Variation Approach for the Design of Linear Clustered Phased Arrays

Anselmi, Nicola and Gottardi, Giorgio and Oliveri, Giacomo and MASSA, Andrea A Sparseness‐Promoting Total‐Variation Approach for the Design of Linear Clustered Phased Arrays. Technical Report. ELEDIA Research Center - University of Trento.

[img]
Preview
Text
A_Sparseness-Promoting_Total-Variation_Approach_for_the_Design_of_Linear_Clustered_Phased_Arrays.pdf

Download (1MB) | Preview

Abstract

This work deals with the design of contiguously clustered linear phased arrays matching user‐defined requirements in terms of far‐field radiated pattern. Towards this aim, a novel total‐variation compressive sensing (TV‐CS) methodology has been developed and customized to the problem at hand such that the sparsity of the gradient of the array excitations is maximized. Thanks to such an approach, it is possible to obtain highly‐performing designs with a reduced number of sub‐arrays. Some numerical results are shown to assess the proposed TV‐CS method when dealing with the clustering of linear arrays radiating Taylor patterns with different requirements on the side‐lobe level (SLL).

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/802

Actions (login required)

View Item View Item