Proper field sampling strategies are important in antenna measurements and diagnostics applications to reduce the overall testing time. We investigate the role of the source dimension in determining the sampling points locations by referring to circumference geometries. An inverse problem approach is adopted, and the spectral decomposition of the relevant operator is considered for a two-dimensional geometry. First, we introduce and discuss an approximation of the resulting Point Spread Functions, on which we found our approach. Next, a numerical strategy to discretize the field observation domain is presented, which results in a nonuniform angular step depending, in turn, on the source extension. Some numerical examples of source characterization show the effectiveness of the approach in comparison with the uniform angular sampling.

Non-uniform Field Sampling in Circumference Geometries

Leone G.
;
Munno F.;Solimene R.;Pierri R.
2022

Abstract

Proper field sampling strategies are important in antenna measurements and diagnostics applications to reduce the overall testing time. We investigate the role of the source dimension in determining the sampling points locations by referring to circumference geometries. An inverse problem approach is adopted, and the spectral decomposition of the relevant operator is considered for a two-dimensional geometry. First, we introduce and discuss an approximation of the resulting Point Spread Functions, on which we found our approach. Next, a numerical strategy to discretize the field observation domain is presented, which results in a nonuniform angular step depending, in turn, on the source extension. Some numerical examples of source characterization show the effectiveness of the approach in comparison with the uniform angular sampling.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11591/467055
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