@techreport{elediasc12882,
            type = {Technical Report},
           title = {A CS-Enhanced Approach for Near-Field Antenna Characterization Subject to Truncation Error},
          author = {Marco SALUCCI and Nicola ANSELMI and Andrea MASSA},
       publisher = {ELEDIA Research Center - University of Trento},
            year = {2024},
             url = {http://www.eledia.org/students-reports/882/},
        keywords = {Antenna measurements, antenna qualification, compressive sensing, near-field pattern estimation, near-field to far-field transformation, sparsity retrieval, truncation error.},
        abstract = {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.}
}