@techreport{elediasc12878,
           title = {Efficient Near Field Antenna Analysis using Compressive Sensing},
            type = {Technical Report},
            year = {2024},
       publisher = {ELEDIA Research Center - University of Trento},
          author = {Marco SALUCCI and Nicola ANSELMI and Andrea MASSA},
           month = {March},
             url = {http://www.eledia.org/students-reports/878/},
        abstract = {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.},
        keywords = {Antenna measurements, antenna qualification, compressive sensing, near-field pattern estimation, near-field to far-field transformation, sparsity retrieval, truncation error.}
}