@techreport{elediasc12885,
            year = {2024},
       publisher = {ELEDIA Research Center - University of Trento},
          author = {Marco SALUCCI and Nicola ANSELMI and Andrea MASSA},
            type = {Technical Report},
           title = {A Sparsity Approach for Near-Field Antenna Characterization with Truncation Error},
             url = {http://www.eledia.org/students-reports/885/},
        abstract = {A novel sparsity-based approach for near field antenna characterization is studied in the presence of truncation error. In particular, Bayesian Compressive Sensing (BCS) is employed which exploits the probabilistic sparsity and incorporates prior knowledge of the antenna under test (AUT) to construct an over complete representation basis. A set of numerical analysis is performed to verify the performance of the proposed method. In addition, the performance of BCS is compared with Orthogonal Matching Pursuit (OMP).},
        keywords = {Antenna measurements, antenna qualification, compressive sensing, near-field pattern estimation, near-field to far-field transformation, sparsity retrieval, truncation error.}
}