Anselmi, Nicola and Gottardi, Giorgio and Oliveri, Giacomo and Massa, Andrea A Total‐Variation Compressive Sensing Approach for the Design of Linear Clustered Arrays. Technical Report. ELEDIA Research Center - University of Trento.
|
Text
A_Total-Variation_Compressive_Sensing_Approach_for_the_Design_of_Linear_Clustered_Arrays.pdf Download (1MB) | Preview |
Abstract
In this work, an innovative methodology for the design of physically‐contiguous clustered linear arrays is proposed. The developed approach is based on a sparseness‐promoting method based on a total‐variation compressive sensing (TV‐CS) solver. Thanks to the adopted formulation, the design of the array feeding network is achieved by maximizing the sparsity of the gradient of the excitations subject to the matching of user‐defined far‐field pattern features. A preliminary numerical example is provided to verify the effectiveness of the proposed method when dealing with the design of a clustered linear array yielding a Taylor pattern with predefined side‐lobe level.
| 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/800 |
Actions (login required)
 |
View Item |
