SALUCCI, Marco and ANSELMI, Nicola and MASSA, Andrea (2024) Advancements in Near-Field Antenna Characterization: A Compressive Sensing Perspective. Technical Report. ELEDIA Research Center - University of Trento.
|
Text
Advancements_in-Near-Field_Antenna_Characterization_A_Compressive_Sensing_Perspective.pdf Download (5MB) | Preview |
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.
Item Type: | Monograph (Technical Report) |
---|---|
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/877 |
Actions (login required)
View Item |