%0 Report
%9 Technical Report
%A SALUCCI, Marco
%A ANSELMI, Nicola
%A MASSA, Andrea
%D 2024
%F elediasc12:877
%K Antenna measurements, antenna qualification, compressive sensing, near-field pattern estimation, near-field to far-field transformation, sparsity retrieval, truncation error.
%T Advancements in Near-Field Antenna Characterization: A Compressive Sensing Perspective
%U http://www.eledia.org/students-reports/877/
%X 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.