relation: http://www.eledia.org/students-reports/882/
title: A CS-Enhanced Approach for Near-Field Antenna Characterization Subject to Truncation Error
creator: SALUCCI, Marco
creator: ANSELMI, Nicola
creator: MASSA, Andrea
subject: A WC Next Generation Wireless Communications
subject: M CS Compressive Sensing
description: An enhanced approach based on Compressive Sensing (CS) is presented to near-field (NF) antenna characterization. The measurements-by-design (MebD) mathematically reformulates the NF prediction problem within a Bayesian framework. Different numerical results are provided to demonstrate the potentialities of the proposed approach subject to truncation error.
publisher: ELEDIA Research Center - University of Trento
date: 2024
type: Monograph
type: NonPeerReviewed
format: text
language: en
identifier: http://www.eledia.org/students-reports/882/1/A_CS-Enhanced_Approach_for_Near-Field_Antenna_Characterization_Subject_to_Truncation_Error.pdf
identifier:   SALUCCI, Marco and ANSELMI, Nicola and MASSA, Andrea  (2024) A CS-Enhanced Approach for Near-Field Antenna Characterization Subject to Truncation Error.  Technical Report. ELEDIA Research Center - University of Trento.