@techreport{elediasc12877,
       publisher = {ELEDIA Research Center - University of Trento},
            year = {2024},
          author = {Marco SALUCCI and Nicola ANSELMI and Andrea MASSA},
           title = {Advancements in Near-Field Antenna Characterization: A Compressive Sensing Perspective},
            type = {Technical Report},
             url = {http://www.eledia.org/students-reports/877/},
        abstract = {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.},
        keywords = {Antenna measurements, antenna qualification, compressive sensing, near-field pattern estimation, near-field to far-field transformation, sparsity retrieval, truncation error.}
}