Advancements in Near-Field Antenna Characterization: A Compressive Sensing Perspective

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.

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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

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