Abstract
Proper field sampling strategies are important in antenna measurements and diagnostics applications to reduce the overall testing time. We investigate the role of source dimension in determining sampling points’ locations by referring to circumference geometries. An inverse problem approach is adopted, and spectral decomposition of the relevant operator is considered for a 2-D geometry. First, we introduce and discuss an approximation of the resulting point spread functions (PSFs), 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 source extension. Some numerical examples of source characterization show the effectiveness of the approach in comparison to uniform angular sampling.
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