SALUCCI, Marco and ANSELMI, Nicola and MASSA, Andrea (2024) Efficient Near Field Antenna Analysis using Compressive Sensing. Technical Report. ELEDIA Research Center - University of Trento.
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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.
| Item Type: | Monograph (Technical Report) |
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| Uncontrolled Keywords: | Antenna measurements, antenna qualification, compressive sensing, near-field pattern estimation, near-field to far-field transformation, sparsity retrieval, truncation error. |
| Subjects: | A Areas > A WC Next Generation Wireless Communications M Methodologies > M CS Compressive Sensing |
| Divisions: | University of Trento > Faculty of Telecommunications, Electronics Engineering > Department of Information Engineering and Computer Science > ELEDIA Research Center |
| URI: | http://www.eledia.org/students-reports/id/eprint/878 |
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