relation: http://www.eledia.org/students-reports/885/
title: A Sparsity Approach for Near-Field Antenna Characterization with Truncation Error
creator: SALUCCI, Marco
creator: ANSELMI, Nicola
creator: MASSA, Andrea
subject: A WC Next Generation Wireless Communications
subject: M CS Compressive Sensing
description: A novel sparsity-based approach for near field antenna characterization is studied in the presence of truncation error. In particular, Bayesian Compressive Sensing (BCS) is employed which exploits the probabilistic sparsity and incorporates prior knowledge of the antenna under test (AUT) to construct an over complete representation basis. A set of numerical analysis is performed to verify the performance of the proposed method. In addition, the performance of BCS is compared with Orthogonal Matching Pursuit (OMP).
publisher: ELEDIA Research Center - University of Trento
date: 2024
type: Monograph
type: NonPeerReviewed
format: text
language: en
identifier: http://www.eledia.org/students-reports/885/1/A_Sparsity_Approach_for_Near-Field_Antenna_Characterization_with_Truncation_Error.pdf
identifier:   SALUCCI, Marco and ANSELMI, Nicola and MASSA, Andrea  (2024) A Sparsity Approach for Near-Field Antenna Characterization with Truncation Error.  Technical Report. ELEDIA Research Center - University of Trento.