SALUCCI, Marco and ANSELMI, Nicola and MASSA, Andrea (2024) Compressive Sensing Techniques for Enhanced Near Field Antenna Evaluation. Technical Report. ELEDIA Research Center - University of Trento.
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Abstract
A new method based on Bayesian Compressive Sensing (BCS) is presented to enhance near-field (NF) antenna characterization. The method exploits the probablistic sparsity and incorporates prior knowledge of the antenna under test (AUT) to construct an overcomplete representation basis. The performance of the proposed method is analysed as a comparative fashion with Orthogonal Matching Persuit (OMP).
| 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 |
| URI: | http://www.eledia.org/students-reports/id/eprint/879 |
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