%A Marco SALUCCI
%A Nicola ANSELMI
%A Andrea MASSA
%I ELEDIA Research Center - University of Trento
%X 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.
%D 2024
%K Antenna measurements, antenna qualification, compressive sensing, near-field pattern estimation, near-field to far-field transformation, sparsity retrieval, truncation error.
%T Efficient Near Field Antenna Analysis using Compressive Sensing
%L elediasc12878