relation: http://www.eledia.org/students-reports/878/
title: Efficient Near Field Antenna Analysis using Compressive Sensing
creator: SALUCCI, Marco
creator: ANSELMI, Nicola
creator: MASSA, Andrea
subject: A WC Next Generation Wireless Communications
subject: M CS Compressive Sensing
description: A new method aimed at efficient near-field (NF) antenna characterization is presented. The measurements-by-design (MebD) mathematically reformulates the NF prediction problem within a Bayesian framework, which is independent of knowledge regarding the nominal/standard antenna or a specific probing setup topology. Bayesian Compressive Sensing (BCS) is used to provide a robust and reliable solution for NF estimation across various application scenarios.
publisher: ELEDIA Research Center - University of Trento
date: 2024-03-29
type: Monograph
type: NonPeerReviewed
format: text
language: en
identifier: http://www.eledia.org/students-reports/878/1/Efficient_Near_Field_Antenna_Analysis_using_Compressive_Sensing.pdf
identifier:   SALUCCI, Marco and ANSELMI, Nicola and MASSA, Andrea  (2024) Efficient Near Field Antenna Analysis using Compressive Sensing.  Technical Report. ELEDIA Research Center - University of Trento.