relation: http://www.eledia.org/students-reports/877/
title: Advancements in Near-Field Antenna Characterization: A Compressive Sensing Perspective
creator: SALUCCI, Marco
creator: ANSELMI, Nicola
creator: MASSA, Andrea
subject: A WC Next Generation Wireless Communications
subject: M CS Compressive Sensing
description: A novel methodology for robust near-field (NF) antenna characterization, based on probabilistic    sparsity, is proposed. This method leverages the measurements-by-design (MebD) paradigm and    incorporates prior knowledge of the antenna under test (AUT) to construct an overcomplete    representation basis. Subsequently, a Bayesian strategy is employed to solve the reformulated problem.    Representative numerical results are provided to demonstrate the efficacy of our approach in reducing    the burden/cost of the acquisition process and mitigating potential truncation errors.
publisher: ELEDIA Research Center - University of Trento
date: 2024
type: Monograph
type: NonPeerReviewed
format: text
language: en
identifier: http://www.eledia.org/students-reports/877/1/Advancements_in-Near-Field_Antenna_Characterization_A_Compressive_Sensing_Perspective.pdf
identifier:   SALUCCI, Marco and ANSELMI, Nicola and MASSA, Andrea  (2024) Advancements in Near-Field Antenna Characterization: A Compressive Sensing Perspective.  Technical Report. ELEDIA Research Center - University of Trento.